{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "73fd4e56-ed0a-46a2-b7d1-3b5122d92d64",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from scipy.stats import pearsonr\n",
    "from sklearn.decomposition import PCA\n",
    "import numpy as np\n",
    "from sklearn.datasets import load_iris\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import LinearRegression, SGDRegressor, Ridge\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import seaborn as sns\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.feature_extraction import DictVectorizer\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c643445a-03d4-4288-9b93-e9e4dd2270f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = pd.read_excel('data/钢材数据表4.0.xlsx',4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2a053706-85a6-40dd-9866-ea99ee6b70ae",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>U</th>\n",
       "      <th>WS_MM</th>\n",
       "      <th>CS_MM</th>\n",
       "      <th>FS_MM</th>\n",
       "      <th>Mn_MM</th>\n",
       "      <th>CL_SM</th>\n",
       "      <th>Out_TE</th>\n",
       "      <th>S_EL</th>\n",
       "      <th>SN_QM</th>\n",
       "      <th>UD_QM</th>\n",
       "      <th>NI_QM</th>\n",
       "      <th>OE_QM</th>\n",
       "      <th>PO_QM</th>\n",
       "      <th>C_QM</th>\n",
       "      <th>SI_QM</th>\n",
       "      <th>L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
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       "      <td>0.185</td>\n",
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       "      <td>0.48</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>12.37</td>\n",
       "      <td>8.86</td>\n",
       "      <td>2.87</td>\n",
       "      <td>5.98</td>\n",
       "      <td>7.22</td>\n",
       "      <td>7.58</td>\n",
       "      <td>2.33</td>\n",
       "      <td>2.54</td>\n",
       "      <td>0.623</td>\n",
       "      <td>2.482</td>\n",
       "      <td>1.025</td>\n",
       "      <td>2.55</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3.22</td>\n",
       "      <td>4.32</td>\n",
       "      <td>7.44</td>\n",
       "      <td>5.02</td>\n",
       "      <td>5.87</td>\n",
       "      <td>8.90</td>\n",
       "      <td>1.54</td>\n",
       "      <td>4.31</td>\n",
       "      <td>0.521</td>\n",
       "      <td>1.585</td>\n",
       "      <td>1.256</td>\n",
       "      <td>2.48</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.981</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>3.56</td>\n",
       "      <td>4.51</td>\n",
       "      <td>9.15</td>\n",
       "      <td>3.25</td>\n",
       "      <td>6.21</td>\n",
       "      <td>7.63</td>\n",
       "      <td>1.02</td>\n",
       "      <td>5.31</td>\n",
       "      <td>0.425</td>\n",
       "      <td>2.556</td>\n",
       "      <td>1.368</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>4.28</td>\n",
       "      <td>7.52</td>\n",
       "      <td>9.26</td>\n",
       "      <td>4.25</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.35</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.31</td>\n",
       "      <td>0.554</td>\n",
       "      <td>2.664</td>\n",
       "      <td>1.585</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.52</td>\n",
       "      <td>1.000</td>\n",
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       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>196</td>\n",
       "      <td>6.22</td>\n",
       "      <td>5.21</td>\n",
       "      <td>7.14</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.25</td>\n",
       "      <td>3.48</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.28</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.456</td>\n",
       "      <td>1.353</td>\n",
       "      <td>1.63</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>197</td>\n",
       "      <td>3.12</td>\n",
       "      <td>5.62</td>\n",
       "      <td>6.57</td>\n",
       "      <td>3.89</td>\n",
       "      <td>4.98</td>\n",
       "      <td>3.95</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.483</td>\n",
       "      <td>1.652</td>\n",
       "      <td>0.756</td>\n",
       "      <td>2.04</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>198</td>\n",
       "      <td>3.44</td>\n",
       "      <td>7.56</td>\n",
       "      <td>8.57</td>\n",
       "      <td>4.55</td>\n",
       "      <td>2.34</td>\n",
       "      <td>2.19</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.286</td>\n",
       "      <td>1.281</td>\n",
       "      <td>1.388</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.905</td>\n",
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       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>199</td>\n",
       "      <td>9.02</td>\n",
       "      <td>6.54</td>\n",
       "      <td>7.25</td>\n",
       "      <td>4.67</td>\n",
       "      <td>4.52</td>\n",
       "      <td>5.54</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.55</td>\n",
       "      <td>0.348</td>\n",
       "      <td>1.456</td>\n",
       "      <td>1.143</td>\n",
       "      <td>2.01</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>200</td>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>1.824</td>\n",
       "      <td>1.126</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.948</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>200 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       U  WS_MM  CS_MM  FS_MM  Mn_MM  CL_SM  Out_TE  S_EL  SN_QM  UD_QM  \\\n",
       "0      1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "1      2  12.37   8.86   2.87   5.98   7.22    7.58  2.33   2.54  0.623   \n",
       "2      3   3.22   4.32   7.44   5.02   5.87    8.90  1.54   4.31  0.521   \n",
       "3      4   3.56   4.51   9.15   3.25   6.21    7.63  1.02   5.31  0.425   \n",
       "4      5   4.28   7.52   9.26   4.25   5.00    6.35  7.00   6.31  0.554   \n",
       "..   ...    ...    ...    ...    ...    ...     ...   ...    ...    ...   \n",
       "195  196   6.22   5.21   7.14   4.53   4.25    3.48  1.42   1.28  0.125   \n",
       "196  197   3.12   5.62   6.57   3.89   4.98    3.95  0.85   0.42  0.483   \n",
       "197  198   3.44   7.56   8.57   4.55   2.34    2.19  1.02   0.21  0.286   \n",
       "198  199   9.02   6.54   7.25   4.67   4.52    5.54  2.56   2.55  0.348   \n",
       "199  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "\n",
       "     NI_QM  OE_QM  PO_QM  C_QM  SI_QM      L  \n",
       "0    2.548  0.185   2.15  0.48   0.51  0.984  \n",
       "1    2.482  1.025   2.55  0.46   0.45  1.000  \n",
       "2    1.585  1.256   2.48  0.55   0.49  0.981  \n",
       "3    2.556  1.368   2.50  0.43   0.45  0.977  \n",
       "4    2.664  1.585   2.50  0.49   0.52  1.000  \n",
       "..     ...    ...    ...   ...    ...    ...  \n",
       "195  0.456  1.353   1.63  0.43   0.39  0.944  \n",
       "196  1.652  0.756   2.04  0.29   0.35  0.955  \n",
       "197  1.281  1.388   2.33  0.43   0.45  0.905  \n",
       "198  1.456  1.143   2.01  0.42   0.46  0.928  \n",
       "199  1.824  1.126   1.46  0.38   0.46  0.948  \n",
       "\n",
       "[200 rows x 16 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1"
   ]
  },
  {
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   "execution_count": 4,
   "id": "1f2620e7-9f54-4d67-86b4-1973f0f5d68a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "U         False\n",
       "WS_MM     False\n",
       "CS_MM     False\n",
       "FS_MM     False\n",
       "Mn_MM     False\n",
       "CL_SM     False\n",
       "Out_TE    False\n",
       "S_EL      False\n",
       "SN_QM     False\n",
       "UD_QM     False\n",
       "NI_QM     False\n",
       "OE_QM     False\n",
       "PO_QM     False\n",
       "C_QM      False\n",
       "SI_QM     False\n",
       "L         False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "93fc3b57-2448-4c3e-8dc5-2d841be7df9b",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "       ...  \n",
       "195    False\n",
       "196     True\n",
       "197    False\n",
       "198    False\n",
       "199    False\n",
       "Length: 200, dtype: bool"
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.duplicated(subset=['WS_MM', 'L'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "370c0060-b059-497f-84dd-ab253d901154",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([1, 4, 11, 14, 184], dtype='int64')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.loc[data1['L'] == 1].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6bb08dc7-e83e-409c-b994-922fd3eed2f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = pd.read_excel('data/钢材数据表4.0.xlsx',5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "86c14bfb-7a4b-4999-a700-e8d19ca9bbb4",
   "metadata": {},
   "outputs": [
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       "      <td>2.553</td>\n",
       "      <td>1.351</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.9310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>199</td>\n",
       "      <td>6.876</td>\n",
       "      <td>-1.34</td>\n",
       "      <td>2.344</td>\n",
       "      <td>0.954</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.8920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>200</td>\n",
       "      <td>6.684</td>\n",
       "      <td>-1.32</td>\n",
       "      <td>2.561</td>\n",
       "      <td>1.654</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.8810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       U    X31   X32    X33    X34   X35    X36      Rc\n",
       "0      1  6.301 -2.06  3.162  0.365  1.93  0.855  0.9300\n",
       "1      2  6.102 -1.98  2.685  0.587  0.95  0.749  0.9400\n",
       "2      3  5.623 -1.38  2.746  1.355  1.55  0.613  0.8050\n",
       "3      4  4.582 -0.27  2.651  0.586  1.61  1.098  0.9000\n",
       "4      5  4.243  0.07  2.443  1.081  1.42  0.977  0.8375\n",
       "..   ...    ...   ...    ...    ...   ...    ...     ...\n",
       "195  196  6.842 -1.45  2.655  1.388  1.34  0.759  0.9350\n",
       "196  197  7.301 -1.23  2.578  1.155  1.59  0.597  0.9160\n",
       "197  198  6.952 -1.07  2.553  1.351  1.09  0.674  0.9310\n",
       "198  199  6.876 -1.34  2.344  0.954  1.45  0.675  0.8920\n",
       "199  200  6.684 -1.32  2.561  1.654  1.36  0.679  0.8810\n",
       "\n",
       "[200 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d369b634-83ba-4d35-9cba-096f895d0809",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "U      False\n",
       "X31    False\n",
       "X32    False\n",
       "X33    False\n",
       "X34    False\n",
       "X35    False\n",
       "X36    False\n",
       "Rc     False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f9240cd4-a546-42d9-9fee-ef05557c4733",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "       ...  \n",
       "195    False\n",
       "196    False\n",
       "197    False\n",
       "198    False\n",
       "199    False\n",
       "Length: 200, dtype: bool"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2.duplicated(subset=['X31', 'Rc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7cf43076-8dac-47ef-b648-e7e30d7ede60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([], dtype='int64')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2.loc[data2['Rc'] == 1].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "15634d02-ffac-49d5-8299-c58f2597424b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = pd.merge(data1, data2, how='cross')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0b0d7434-e9e9-449e-ac26-4a4694907b29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>U_x</th>\n",
       "      <th>WS_MM</th>\n",
       "      <th>CS_MM</th>\n",
       "      <th>FS_MM</th>\n",
       "      <th>Mn_MM</th>\n",
       "      <th>CL_SM</th>\n",
       "      <th>Out_TE</th>\n",
       "      <th>S_EL</th>\n",
       "      <th>SN_QM</th>\n",
       "      <th>UD_QM</th>\n",
       "      <th>...</th>\n",
       "      <th>SI_QM</th>\n",
       "      <th>L</th>\n",
       "      <th>U_y</th>\n",
       "      <th>X31</th>\n",
       "      <th>X32</th>\n",
       "      <th>X33</th>\n",
       "      <th>X34</th>\n",
       "      <th>X35</th>\n",
       "      <th>X36</th>\n",
       "      <th>Rc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.984</td>\n",
       "      <td>1</td>\n",
       "      <td>6.301</td>\n",
       "      <td>-2.06</td>\n",
       "      <td>3.162</td>\n",
       "      <td>0.365</td>\n",
       "      <td>1.93</td>\n",
       "      <td>0.855</td>\n",
       "      <td>0.9300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.984</td>\n",
       "      <td>2</td>\n",
       "      <td>6.102</td>\n",
       "      <td>-1.98</td>\n",
       "      <td>2.685</td>\n",
       "      <td>0.587</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.749</td>\n",
       "      <td>0.9400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.984</td>\n",
       "      <td>3</td>\n",
       "      <td>5.623</td>\n",
       "      <td>-1.38</td>\n",
       "      <td>2.746</td>\n",
       "      <td>1.355</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.8050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.984</td>\n",
       "      <td>4</td>\n",
       "      <td>4.582</td>\n",
       "      <td>-0.27</td>\n",
       "      <td>2.651</td>\n",
       "      <td>0.586</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.098</td>\n",
       "      <td>0.9000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.984</td>\n",
       "      <td>5</td>\n",
       "      <td>4.243</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2.443</td>\n",
       "      <td>1.081</td>\n",
       "      <td>1.42</td>\n",
       "      <td>0.977</td>\n",
       "      <td>0.8375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39995</th>\n",
       "      <td>200</td>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.948</td>\n",
       "      <td>196</td>\n",
       "      <td>6.842</td>\n",
       "      <td>-1.45</td>\n",
       "      <td>2.655</td>\n",
       "      <td>1.388</td>\n",
       "      <td>1.34</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.9350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39996</th>\n",
       "      <td>200</td>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.948</td>\n",
       "      <td>197</td>\n",
       "      <td>7.301</td>\n",
       "      <td>-1.23</td>\n",
       "      <td>2.578</td>\n",
       "      <td>1.155</td>\n",
       "      <td>1.59</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.9160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39997</th>\n",
       "      <td>200</td>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.948</td>\n",
       "      <td>198</td>\n",
       "      <td>6.952</td>\n",
       "      <td>-1.07</td>\n",
       "      <td>2.553</td>\n",
       "      <td>1.351</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.9310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39998</th>\n",
       "      <td>200</td>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.948</td>\n",
       "      <td>199</td>\n",
       "      <td>6.876</td>\n",
       "      <td>-1.34</td>\n",
       "      <td>2.344</td>\n",
       "      <td>0.954</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.8920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39999</th>\n",
       "      <td>200</td>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.948</td>\n",
       "      <td>200</td>\n",
       "      <td>6.684</td>\n",
       "      <td>-1.32</td>\n",
       "      <td>2.561</td>\n",
       "      <td>1.654</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.8810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40000 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       U_x  WS_MM  CS_MM  FS_MM  Mn_MM  CL_SM  Out_TE  S_EL  SN_QM  UD_QM  \\\n",
       "0        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "1        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "2        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "3        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "4        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "...    ...    ...    ...    ...    ...    ...     ...   ...    ...    ...   \n",
       "39995  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39996  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39997  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39998  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39999  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "\n",
       "       ...  SI_QM      L  U_y    X31   X32    X33    X34   X35    X36      Rc  \n",
       "0      ...   0.51  0.984    1  6.301 -2.06  3.162  0.365  1.93  0.855  0.9300  \n",
       "1      ...   0.51  0.984    2  6.102 -1.98  2.685  0.587  0.95  0.749  0.9400  \n",
       "2      ...   0.51  0.984    3  5.623 -1.38  2.746  1.355  1.55  0.613  0.8050  \n",
       "3      ...   0.51  0.984    4  4.582 -0.27  2.651  0.586  1.61  1.098  0.9000  \n",
       "4      ...   0.51  0.984    5  4.243  0.07  2.443  1.081  1.42  0.977  0.8375  \n",
       "...    ...    ...    ...  ...    ...   ...    ...    ...   ...    ...     ...  \n",
       "39995  ...   0.46  0.948  196  6.842 -1.45  2.655  1.388  1.34  0.759  0.9350  \n",
       "39996  ...   0.46  0.948  197  7.301 -1.23  2.578  1.155  1.59  0.597  0.9160  \n",
       "39997  ...   0.46  0.948  198  6.952 -1.07  2.553  1.351  1.09  0.674  0.9310  \n",
       "39998  ...   0.46  0.948  199  6.876 -1.34  2.344  0.954  1.45  0.675  0.8920  \n",
       "39999  ...   0.46  0.948  200  6.684 -1.32  2.561  1.654  1.36  0.679  0.8810  \n",
       "\n",
       "[40000 rows x 24 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0d368b34-dd81-479e-a432-9c48c0ad6d15",
   "metadata": {},
   "outputs": [],
   "source": [
    "index = data1.loc[data1['L'] == 1].index\n",
    "average = data1.drop(index)['L'].mean()\n",
    "data1.loc[index, 'L'] = average\n",
    "# average_value = data1['L'].mean()\n",
    "# average_value  # 0.931"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cf6d0252-551a-410e-afa9-a5028b9e14b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "res = data3['L'] * data3['Rc']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5cdbea84-e783-44e5-88ef-017812b96662",
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.loc[0:40000, 'Rc'] = res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "924b5317-3cf6-4dcd-a2af-ff530990ea84",
   "metadata": {},
   "outputs": [],
   "source": [
    "data3.rename(columns={'Rc': 'Rate'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a0a644de-ddec-45e4-a967-9a1545f6908d",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.984</td>\n",
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       "      <td>-1.38</td>\n",
       "      <td>2.746</td>\n",
       "      <td>1.355</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.792120</td>\n",
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       "      <th>3</th>\n",
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       "      <td>8.05</td>\n",
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       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
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       "      <td>0.51</td>\n",
       "      <td>0.984</td>\n",
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       "      <td>0.12</td>\n",
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       "      <td>0.984</td>\n",
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       "      <td>4.243</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2.443</td>\n",
       "      <td>1.081</td>\n",
       "      <td>1.42</td>\n",
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       "      <td>197</td>\n",
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       "      <th>39997</th>\n",
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       "      <th>39998</th>\n",
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       "      <td>8.61</td>\n",
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       "      <td>199</td>\n",
       "      <td>6.876</td>\n",
       "      <td>-1.34</td>\n",
       "      <td>2.344</td>\n",
       "      <td>0.954</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.845616</td>\n",
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       "    <tr>\n",
       "      <th>39999</th>\n",
       "      <td>200</td>\n",
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       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
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       "      <td>1.59</td>\n",
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       "      <td>200</td>\n",
       "      <td>6.684</td>\n",
       "      <td>-1.32</td>\n",
       "      <td>2.561</td>\n",
       "      <td>1.654</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.835188</td>\n",
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       "</table>\n",
       "<p>40000 rows × 24 columns</p>\n",
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      "text/plain": [
       "       U_x  WS_MM  CS_MM  FS_MM  Mn_MM  CL_SM  Out_TE  S_EL  SN_QM  UD_QM  \\\n",
       "0        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "1        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "2        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "3        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "4        1   8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552   \n",
       "...    ...    ...    ...    ...    ...    ...     ...   ...    ...    ...   \n",
       "39995  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39996  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39997  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39998  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "39999  200   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143   \n",
       "\n",
       "       ...  SI_QM      L  U_y    X31   X32    X33    X34   X35    X36  \\\n",
       "0      ...   0.51  0.984    1  6.301 -2.06  3.162  0.365  1.93  0.855   \n",
       "1      ...   0.51  0.984    2  6.102 -1.98  2.685  0.587  0.95  0.749   \n",
       "2      ...   0.51  0.984    3  5.623 -1.38  2.746  1.355  1.55  0.613   \n",
       "3      ...   0.51  0.984    4  4.582 -0.27  2.651  0.586  1.61  1.098   \n",
       "4      ...   0.51  0.984    5  4.243  0.07  2.443  1.081  1.42  0.977   \n",
       "...    ...    ...    ...  ...    ...   ...    ...    ...   ...    ...   \n",
       "39995  ...   0.46  0.948  196  6.842 -1.45  2.655  1.388  1.34  0.759   \n",
       "39996  ...   0.46  0.948  197  7.301 -1.23  2.578  1.155  1.59  0.597   \n",
       "39997  ...   0.46  0.948  198  6.952 -1.07  2.553  1.351  1.09  0.674   \n",
       "39998  ...   0.46  0.948  199  6.876 -1.34  2.344  0.954  1.45  0.675   \n",
       "39999  ...   0.46  0.948  200  6.684 -1.32  2.561  1.654  1.36  0.679   \n",
       "\n",
       "           Rate  \n",
       "0      0.915120  \n",
       "1      0.924960  \n",
       "2      0.792120  \n",
       "3      0.885600  \n",
       "4      0.824100  \n",
       "...         ...  \n",
       "39995  0.886380  \n",
       "39996  0.868368  \n",
       "39997  0.882588  \n",
       "39998  0.845616  \n",
       "39999  0.835188  \n",
       "\n",
       "[40000 rows x 24 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6e2560e3-dca6-449a-b13d-6f5918cff287",
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3.drop(columns=['L'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e5851b86-2e0c-4b7a-9068-24841b9bcec4",
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3.drop(columns=['U_x'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2ae179cd-0e68-4ba1-9666-050a06035dc8",
   "metadata": {},
   "outputs": [],
   "source": [
    "data3 = data3.drop(columns=['U_y'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7ad01aff-834f-4a6a-902e-ea033a5a0931",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.51</td>\n",
       "      <td>5.623</td>\n",
       "      <td>-1.38</td>\n",
       "      <td>2.746</td>\n",
       "      <td>1.355</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.792120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.552</td>\n",
       "      <td>2.548</td>\n",
       "      <td>...</td>\n",
       "      <td>2.15</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.51</td>\n",
       "      <td>4.582</td>\n",
       "      <td>-0.27</td>\n",
       "      <td>2.651</td>\n",
       "      <td>0.586</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.098</td>\n",
       "      <td>0.885600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.05</td>\n",
       "      <td>9.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.87</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.552</td>\n",
       "      <td>2.548</td>\n",
       "      <td>...</td>\n",
       "      <td>2.15</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.51</td>\n",
       "      <td>4.243</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2.443</td>\n",
       "      <td>1.081</td>\n",
       "      <td>1.42</td>\n",
       "      <td>0.977</td>\n",
       "      <td>0.824100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39995</th>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>1.824</td>\n",
       "      <td>...</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.46</td>\n",
       "      <td>6.842</td>\n",
       "      <td>-1.45</td>\n",
       "      <td>2.655</td>\n",
       "      <td>1.388</td>\n",
       "      <td>1.34</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.886380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39996</th>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>1.824</td>\n",
       "      <td>...</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.46</td>\n",
       "      <td>7.301</td>\n",
       "      <td>-1.23</td>\n",
       "      <td>2.578</td>\n",
       "      <td>1.155</td>\n",
       "      <td>1.59</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.868368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39997</th>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>1.824</td>\n",
       "      <td>...</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.46</td>\n",
       "      <td>6.952</td>\n",
       "      <td>-1.07</td>\n",
       "      <td>2.553</td>\n",
       "      <td>1.351</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.882588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39998</th>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>1.824</td>\n",
       "      <td>...</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.46</td>\n",
       "      <td>6.876</td>\n",
       "      <td>-1.34</td>\n",
       "      <td>2.344</td>\n",
       "      <td>0.954</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.845616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39999</th>\n",
       "      <td>3.12</td>\n",
       "      <td>6.12</td>\n",
       "      <td>8.61</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.143</td>\n",
       "      <td>1.824</td>\n",
       "      <td>...</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.46</td>\n",
       "      <td>6.684</td>\n",
       "      <td>-1.32</td>\n",
       "      <td>2.561</td>\n",
       "      <td>1.654</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.835188</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40000 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       WS_MM  CS_MM  FS_MM  Mn_MM  CL_SM  Out_TE  S_EL  SN_QM  UD_QM  NI_QM  \\\n",
       "0       8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552  2.548   \n",
       "1       8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552  2.548   \n",
       "2       8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552  2.548   \n",
       "3       8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552  2.548   \n",
       "4       8.05   9.12   0.26   0.12   6.08    8.87  1.26   2.31  0.552  2.548   \n",
       "...      ...    ...    ...    ...    ...     ...   ...    ...    ...    ...   \n",
       "39995   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143  1.824   \n",
       "39996   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143  1.824   \n",
       "39997   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143  1.824   \n",
       "39998   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143  1.824   \n",
       "39999   3.12   6.12   8.61   5.82   2.44    1.59  1.24   0.66  0.143  1.824   \n",
       "\n",
       "       ...  PO_QM  C_QM  SI_QM    X31   X32    X33    X34   X35    X36  \\\n",
       "0      ...   2.15  0.48   0.51  6.301 -2.06  3.162  0.365  1.93  0.855   \n",
       "1      ...   2.15  0.48   0.51  6.102 -1.98  2.685  0.587  0.95  0.749   \n",
       "2      ...   2.15  0.48   0.51  5.623 -1.38  2.746  1.355  1.55  0.613   \n",
       "3      ...   2.15  0.48   0.51  4.582 -0.27  2.651  0.586  1.61  1.098   \n",
       "4      ...   2.15  0.48   0.51  4.243  0.07  2.443  1.081  1.42  0.977   \n",
       "...    ...    ...   ...    ...    ...   ...    ...    ...   ...    ...   \n",
       "39995  ...   1.46  0.38   0.46  6.842 -1.45  2.655  1.388  1.34  0.759   \n",
       "39996  ...   1.46  0.38   0.46  7.301 -1.23  2.578  1.155  1.59  0.597   \n",
       "39997  ...   1.46  0.38   0.46  6.952 -1.07  2.553  1.351  1.09  0.674   \n",
       "39998  ...   1.46  0.38   0.46  6.876 -1.34  2.344  0.954  1.45  0.675   \n",
       "39999  ...   1.46  0.38   0.46  6.684 -1.32  2.561  1.654  1.36  0.679   \n",
       "\n",
       "           Rate  \n",
       "0      0.915120  \n",
       "1      0.924960  \n",
       "2      0.792120  \n",
       "3      0.885600  \n",
       "4      0.824100  \n",
       "...         ...  \n",
       "39995  0.886380  \n",
       "39996  0.868368  \n",
       "39997  0.882588  \n",
       "39998  0.845616  \n",
       "39999  0.835188  \n",
       "\n",
       "[40000 rows x 21 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "08f86050-1bef-4f14-a190-abbc930fad12",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#方差分布图\n",
    "variances = data3.drop(columns=['Rate']).var()\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(variances.index, variances.values)\n",
    "plt.xlabel('Columns')\n",
    "plt.ylabel('Variances')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "fa488b2f-80cf-48fb-88b3-5ac8e8aee74d",
   "metadata": {},
   "outputs": [],
   "source": [
    "cls = data3.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c6c96d7b-ac78-4ceb-96c1-8f8a80bc81ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = data3[cls[1:21]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4c4f5514-6b7b-4168-8f55-a509cb224100",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = data3['Rate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "085d8378-eedf-4216-8dc4-5d5b72171474",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据集划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "db15fcb4-20b7-440d-aad7-022fab01ab5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 返回值 x_train x_test y_train y_test\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2, random_state=22)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d93d92a2-1a05-461c-a6be-10d36bfa1020",
   "metadata": {},
   "outputs": [],
   "source": [
    "#特征数据标准化\n",
    "def standard_scaler():\n",
    "    data = data3.drop(columns=['Rate'])\n",
    "    transfer = StandardScaler()\n",
    "    data_new = transfer.fit_transform(data)\n",
    "    # 标准化之后的结果\n",
    "    print(data_new)\n",
    "    # 每一列的均值\n",
    "    print(transfer.mean_)\n",
    "    # 每一列的方差\n",
    "    print(transfer.var_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9bb3dd38-ec66-495f-8e93-9d7d38c82940",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data3.loc[:, 'WS_MM': 'X36']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6a915689-8290-4dce-a7e3-b4e6e98f46e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WS_MM 和 CS_MM 的相关系数是：0.018621\n",
      "WS_MM 和 FS_MM 的相关系数是：-0.055860\n",
      "WS_MM 和 Mn_MM 的相关系数是：0.075947\n",
      "WS_MM 和 CL_SM 的相关系数是：0.299762\n",
      "WS_MM 和 Out_TE 的相关系数是：0.171764\n",
      "WS_MM 和 S_EL 的相关系数是：0.079562\n",
      "WS_MM 和 SN_QM 的相关系数是：0.237125\n",
      "WS_MM 和 UD_QM 的相关系数是：0.084002\n",
      "WS_MM 和 NI_QM 的相关系数是：-0.111884\n",
      "WS_MM 和 OE_QM 的相关系数是：0.029788\n",
      "WS_MM 和 PO_QM 的相关系数是：-0.076262\n",
      "WS_MM 和 C_QM 的相关系数是：0.123773\n",
      "WS_MM 和 SI_QM 的相关系数是：0.094918\n",
      "WS_MM 和 X31 的相关系数是：-0.000000\n",
      "WS_MM 和 X32 的相关系数是：0.000000\n",
      "WS_MM 和 X33 的相关系数是：0.000000\n",
      "WS_MM 和 X34 的相关系数是：0.000000\n",
      "WS_MM 和 X35 的相关系数是：0.000000\n",
      "WS_MM 和 X36 的相关系数是：-0.000000\n",
      "CS_MM 和 WS_MM 的相关系数是：0.018621\n",
      "CS_MM 和 FS_MM 的相关系数是：0.266964\n",
      "CS_MM 和 Mn_MM 的相关系数是：0.035508\n",
      "CS_MM 和 CL_SM 的相关系数是：0.073105\n",
      "CS_MM 和 Out_TE 的相关系数是：0.000214\n",
      "CS_MM 和 S_EL 的相关系数是：-0.021298\n",
      "CS_MM 和 SN_QM 的相关系数是：-0.075281\n",
      "CS_MM 和 UD_QM 的相关系数是：0.014823\n",
      "CS_MM 和 NI_QM 的相关系数是：0.067952\n",
      "CS_MM 和 OE_QM 的相关系数是：-0.042985\n",
      "CS_MM 和 PO_QM 的相关系数是：0.038022\n",
      "CS_MM 和 C_QM 的相关系数是：-0.142538\n",
      "CS_MM 和 SI_QM 的相关系数是：0.094768\n",
      "CS_MM 和 X31 的相关系数是：-0.000000\n",
      "CS_MM 和 X32 的相关系数是：-0.000000\n",
      "CS_MM 和 X33 的相关系数是：-0.000000\n",
      "CS_MM 和 X34 的相关系数是：-0.000000\n",
      "CS_MM 和 X35 的相关系数是：-0.000000\n",
      "CS_MM 和 X36 的相关系数是：-0.000000\n",
      "FS_MM 和 WS_MM 的相关系数是：-0.055860\n",
      "FS_MM 和 CS_MM 的相关系数是：0.266964\n",
      "FS_MM 和 Mn_MM 的相关系数是：0.245164\n",
      "FS_MM 和 CL_SM 的相关系数是：-0.083176\n",
      "FS_MM 和 Out_TE 的相关系数是：-0.211638\n",
      "FS_MM 和 S_EL 的相关系数是：-0.019146\n",
      "FS_MM 和 SN_QM 的相关系数是：-0.093615\n",
      "FS_MM 和 UD_QM 的相关系数是：-0.104665\n",
      "FS_MM 和 NI_QM 的相关系数是：-0.200591\n",
      "FS_MM 和 OE_QM 的相关系数是：0.122268\n",
      "FS_MM 和 PO_QM 的相关系数是：-0.126777\n",
      "FS_MM 和 C_QM 的相关系数是：-0.159753\n",
      "FS_MM 和 SI_QM 的相关系数是：0.041652\n",
      "FS_MM 和 X31 的相关系数是：-0.000000\n",
      "FS_MM 和 X32 的相关系数是：-0.000000\n",
      "FS_MM 和 X33 的相关系数是：-0.000000\n",
      "FS_MM 和 X34 的相关系数是：-0.000000\n",
      "FS_MM 和 X35 的相关系数是：-0.000000\n",
      "FS_MM 和 X36 的相关系数是：-0.000000\n",
      "Mn_MM 和 WS_MM 的相关系数是：0.075947\n",
      "Mn_MM 和 CS_MM 的相关系数是：0.035508\n",
      "Mn_MM 和 FS_MM 的相关系数是：0.245164\n",
      "Mn_MM 和 CL_SM 的相关系数是：0.008470\n",
      "Mn_MM 和 Out_TE 的相关系数是：-0.114888\n",
      "Mn_MM 和 S_EL 的相关系数是：-0.053913\n",
      "Mn_MM 和 SN_QM 的相关系数是：-0.150944\n",
      "Mn_MM 和 UD_QM 的相关系数是：0.017105\n",
      "Mn_MM 和 NI_QM 的相关系数是：-0.168349\n",
      "Mn_MM 和 OE_QM 的相关系数是：0.039846\n",
      "Mn_MM 和 PO_QM 的相关系数是：-0.048686\n",
      "Mn_MM 和 C_QM 的相关系数是：-0.129350\n",
      "Mn_MM 和 SI_QM 的相关系数是：0.052084\n",
      "Mn_MM 和 X31 的相关系数是：0.000000\n",
      "Mn_MM 和 X32 的相关系数是：0.000000\n",
      "Mn_MM 和 X33 的相关系数是：0.000000\n",
      "Mn_MM 和 X34 的相关系数是：0.000000\n",
      "Mn_MM 和 X35 的相关系数是：0.000000\n",
      "Mn_MM 和 X36 的相关系数是：-0.000000\n",
      "CL_SM 和 WS_MM 的相关系数是：0.299762\n",
      "CL_SM 和 CS_MM 的相关系数是：0.073105\n",
      "CL_SM 和 FS_MM 的相关系数是：-0.083176\n",
      "CL_SM 和 Mn_MM 的相关系数是：0.008470\n",
      "CL_SM 和 Out_TE 的相关系数是：0.547376\n",
      "CL_SM 和 S_EL 的相关系数是：0.195794\n",
      "CL_SM 和 SN_QM 的相关系数是：0.371936\n",
      "CL_SM 和 UD_QM 的相关系数是：0.167510\n",
      "CL_SM 和 NI_QM 的相关系数是：0.185764\n",
      "CL_SM 和 OE_QM 的相关系数是：0.080724\n",
      "CL_SM 和 PO_QM 的相关系数是：0.142895\n",
      "CL_SM 和 C_QM 的相关系数是：0.229542\n",
      "CL_SM 和 SI_QM 的相关系数是：0.217636\n",
      "CL_SM 和 X31 的相关系数是：-0.000000\n",
      "CL_SM 和 X32 的相关系数是：0.000000\n",
      "CL_SM 和 X33 的相关系数是：0.000000\n",
      "CL_SM 和 X34 的相关系数是：-0.000000\n",
      "CL_SM 和 X35 的相关系数是：0.000000\n",
      "CL_SM 和 X36 的相关系数是：-0.000000\n",
      "Out_TE 和 WS_MM 的相关系数是：0.171764\n",
      "Out_TE 和 CS_MM 的相关系数是：0.000214\n",
      "Out_TE 和 FS_MM 的相关系数是：-0.211638\n",
      "Out_TE 和 Mn_MM 的相关系数是：-0.114888\n",
      "Out_TE 和 CL_SM 的相关系数是：0.547376\n",
      "Out_TE 和 S_EL 的相关系数是：0.321477\n",
      "Out_TE 和 SN_QM 的相关系数是：0.554932\n",
      "Out_TE 和 UD_QM 的相关系数是：0.278299\n",
      "Out_TE 和 NI_QM 的相关系数是：0.203519\n",
      "Out_TE 和 OE_QM 的相关系数是：0.095878\n",
      "Out_TE 和 PO_QM 的相关系数是：0.358496\n",
      "Out_TE 和 C_QM 的相关系数是：0.459585\n",
      "Out_TE 和 SI_QM 的相关系数是：0.246578\n",
      "Out_TE 和 X31 的相关系数是：0.000000\n",
      "Out_TE 和 X32 的相关系数是：-0.000000\n",
      "Out_TE 和 X33 的相关系数是：0.000000\n",
      "Out_TE 和 X34 的相关系数是：-0.000000\n",
      "Out_TE 和 X35 的相关系数是：0.000000\n",
      "Out_TE 和 X36 的相关系数是：0.000000\n",
      "S_EL 和 WS_MM 的相关系数是：0.079562\n",
      "S_EL 和 CS_MM 的相关系数是：-0.021298\n",
      "S_EL 和 FS_MM 的相关系数是：-0.019146\n",
      "S_EL 和 Mn_MM 的相关系数是：-0.053913\n",
      "S_EL 和 CL_SM 的相关系数是：0.195794\n",
      "S_EL 和 Out_TE 的相关系数是：0.321477\n",
      "S_EL 和 SN_QM 的相关系数是：0.386022\n",
      "S_EL 和 UD_QM 的相关系数是：0.174378\n",
      "S_EL 和 NI_QM 的相关系数是：0.203511\n",
      "S_EL 和 OE_QM 的相关系数是：0.171330\n",
      "S_EL 和 PO_QM 的相关系数是：0.165842\n",
      "S_EL 和 C_QM 的相关系数是：0.244422\n",
      "S_EL 和 SI_QM 的相关系数是：0.087145\n",
      "S_EL 和 X31 的相关系数是：0.000000\n",
      "S_EL 和 X32 的相关系数是：0.000000\n",
      "S_EL 和 X33 的相关系数是：-0.000000\n",
      "S_EL 和 X34 的相关系数是：0.000000\n",
      "S_EL 和 X35 的相关系数是：-0.000000\n",
      "S_EL 和 X36 的相关系数是：0.000000\n",
      "SN_QM 和 WS_MM 的相关系数是：0.237125\n",
      "SN_QM 和 CS_MM 的相关系数是：-0.075281\n",
      "SN_QM 和 FS_MM 的相关系数是：-0.093615\n",
      "SN_QM 和 Mn_MM 的相关系数是：-0.150944\n",
      "SN_QM 和 CL_SM 的相关系数是：0.371936\n",
      "SN_QM 和 Out_TE 的相关系数是：0.554932\n",
      "SN_QM 和 S_EL 的相关系数是：0.386022\n",
      "SN_QM 和 UD_QM 的相关系数是：0.045135\n",
      "SN_QM 和 NI_QM 的相关系数是：0.182367\n",
      "SN_QM 和 OE_QM 的相关系数是：0.016941\n",
      "SN_QM 和 PO_QM 的相关系数是：0.270649\n",
      "SN_QM 和 C_QM 的相关系数是：0.268066\n",
      "SN_QM 和 SI_QM 的相关系数是：0.097049\n",
      "SN_QM 和 X31 的相关系数是：-0.000000\n",
      "SN_QM 和 X32 的相关系数是：0.000000\n",
      "SN_QM 和 X33 的相关系数是：0.000000\n",
      "SN_QM 和 X34 的相关系数是：0.000000\n",
      "SN_QM 和 X35 的相关系数是：-0.000000\n",
      "SN_QM 和 X36 的相关系数是：0.000000\n",
      "UD_QM 和 WS_MM 的相关系数是：0.084002\n",
      "UD_QM 和 CS_MM 的相关系数是：0.014823\n",
      "UD_QM 和 FS_MM 的相关系数是：-0.104665\n",
      "UD_QM 和 Mn_MM 的相关系数是：0.017105\n",
      "UD_QM 和 CL_SM 的相关系数是：0.167510\n",
      "UD_QM 和 Out_TE 的相关系数是：0.278299\n",
      "UD_QM 和 S_EL 的相关系数是：0.174378\n",
      "UD_QM 和 SN_QM 的相关系数是：0.045135\n",
      "UD_QM 和 NI_QM 的相关系数是：0.051372\n",
      "UD_QM 和 OE_QM 的相关系数是：-0.059824\n",
      "UD_QM 和 PO_QM 的相关系数是：0.120039\n",
      "UD_QM 和 C_QM 的相关系数是：0.192450\n",
      "UD_QM 和 SI_QM 的相关系数是：0.129329\n",
      "UD_QM 和 X31 的相关系数是：-0.000000\n",
      "UD_QM 和 X32 的相关系数是：-0.000000\n",
      "UD_QM 和 X33 的相关系数是：-0.000000\n",
      "UD_QM 和 X34 的相关系数是：0.000000\n",
      "UD_QM 和 X35 的相关系数是：0.000000\n",
      "UD_QM 和 X36 的相关系数是：-0.000000\n",
      "NI_QM 和 WS_MM 的相关系数是：-0.111884\n",
      "NI_QM 和 CS_MM 的相关系数是：0.067952\n",
      "NI_QM 和 FS_MM 的相关系数是：-0.200591\n",
      "NI_QM 和 Mn_MM 的相关系数是：-0.168349\n",
      "NI_QM 和 CL_SM 的相关系数是：0.185764\n",
      "NI_QM 和 Out_TE 的相关系数是：0.203519\n",
      "NI_QM 和 S_EL 的相关系数是：0.203511\n",
      "NI_QM 和 SN_QM 的相关系数是：0.182367\n",
      "NI_QM 和 UD_QM 的相关系数是：0.051372\n",
      "NI_QM 和 OE_QM 的相关系数是：-0.133055\n",
      "NI_QM 和 PO_QM 的相关系数是：0.180803\n",
      "NI_QM 和 C_QM 的相关系数是：0.133534\n",
      "NI_QM 和 SI_QM 的相关系数是：-0.024001\n",
      "NI_QM 和 X31 的相关系数是：0.000000\n",
      "NI_QM 和 X32 的相关系数是：0.000000\n",
      "NI_QM 和 X33 的相关系数是：-0.000000\n",
      "NI_QM 和 X34 的相关系数是：-0.000000\n",
      "NI_QM 和 X35 的相关系数是：0.000000\n",
      "NI_QM 和 X36 的相关系数是：0.000000\n",
      "OE_QM 和 WS_MM 的相关系数是：0.029788\n",
      "OE_QM 和 CS_MM 的相关系数是：-0.042985\n",
      "OE_QM 和 FS_MM 的相关系数是：0.122268\n",
      "OE_QM 和 Mn_MM 的相关系数是：0.039846\n",
      "OE_QM 和 CL_SM 的相关系数是：0.080724\n",
      "OE_QM 和 Out_TE 的相关系数是：0.095878\n",
      "OE_QM 和 S_EL 的相关系数是：0.171330\n",
      "OE_QM 和 SN_QM 的相关系数是：0.016941\n",
      "OE_QM 和 UD_QM 的相关系数是：-0.059824\n",
      "OE_QM 和 NI_QM 的相关系数是：-0.133055\n",
      "OE_QM 和 PO_QM 的相关系数是：0.085347\n",
      "OE_QM 和 C_QM 的相关系数是：0.220587\n",
      "OE_QM 和 SI_QM 的相关系数是：-0.026601\n",
      "OE_QM 和 X31 的相关系数是：0.000000\n",
      "OE_QM 和 X32 的相关系数是：-0.000000\n",
      "OE_QM 和 X33 的相关系数是：0.000000\n",
      "OE_QM 和 X34 的相关系数是：0.000000\n",
      "OE_QM 和 X35 的相关系数是：-0.000000\n",
      "OE_QM 和 X36 的相关系数是：0.000000\n",
      "PO_QM 和 WS_MM 的相关系数是：-0.076262\n",
      "PO_QM 和 CS_MM 的相关系数是：0.038022\n",
      "PO_QM 和 FS_MM 的相关系数是：-0.126777\n",
      "PO_QM 和 Mn_MM 的相关系数是：-0.048686\n",
      "PO_QM 和 CL_SM 的相关系数是：0.142895\n",
      "PO_QM 和 Out_TE 的相关系数是：0.358496\n",
      "PO_QM 和 S_EL 的相关系数是：0.165842\n",
      "PO_QM 和 SN_QM 的相关系数是：0.270649\n",
      "PO_QM 和 UD_QM 的相关系数是：0.120039\n",
      "PO_QM 和 NI_QM 的相关系数是：0.180803\n",
      "PO_QM 和 OE_QM 的相关系数是：0.085347\n",
      "PO_QM 和 C_QM 的相关系数是：0.190571\n",
      "PO_QM 和 SI_QM 的相关系数是：0.133166\n",
      "PO_QM 和 X31 的相关系数是：-0.000000\n",
      "PO_QM 和 X32 的相关系数是：-0.000000\n",
      "PO_QM 和 X33 的相关系数是：-0.000000\n",
      "PO_QM 和 X34 的相关系数是：-0.000000\n",
      "PO_QM 和 X35 的相关系数是：0.000000\n",
      "PO_QM 和 X36 的相关系数是：0.000000\n",
      "C_QM 和 WS_MM 的相关系数是：0.123773\n",
      "C_QM 和 CS_MM 的相关系数是：-0.142538\n",
      "C_QM 和 FS_MM 的相关系数是：-0.159753\n",
      "C_QM 和 Mn_MM 的相关系数是：-0.129350\n",
      "C_QM 和 CL_SM 的相关系数是：0.229542\n",
      "C_QM 和 Out_TE 的相关系数是：0.459585\n",
      "C_QM 和 S_EL 的相关系数是：0.244422\n",
      "C_QM 和 SN_QM 的相关系数是：0.268066\n",
      "C_QM 和 UD_QM 的相关系数是：0.192450\n",
      "C_QM 和 NI_QM 的相关系数是：0.133534\n",
      "C_QM 和 OE_QM 的相关系数是：0.220587\n",
      "C_QM 和 PO_QM 的相关系数是：0.190571\n",
      "C_QM 和 SI_QM 的相关系数是：0.267939\n",
      "C_QM 和 X31 的相关系数是：-0.000000\n",
      "C_QM 和 X32 的相关系数是：0.000000\n",
      "C_QM 和 X33 的相关系数是：0.000000\n",
      "C_QM 和 X34 的相关系数是：0.000000\n",
      "C_QM 和 X35 的相关系数是：0.000000\n",
      "C_QM 和 X36 的相关系数是：-0.000000\n",
      "SI_QM 和 WS_MM 的相关系数是：0.094918\n",
      "SI_QM 和 CS_MM 的相关系数是：0.094768\n",
      "SI_QM 和 FS_MM 的相关系数是：0.041652\n",
      "SI_QM 和 Mn_MM 的相关系数是：0.052084\n",
      "SI_QM 和 CL_SM 的相关系数是：0.217636\n",
      "SI_QM 和 Out_TE 的相关系数是：0.246578\n",
      "SI_QM 和 S_EL 的相关系数是：0.087145\n",
      "SI_QM 和 SN_QM 的相关系数是：0.097049\n",
      "SI_QM 和 UD_QM 的相关系数是：0.129329\n",
      "SI_QM 和 NI_QM 的相关系数是：-0.024001\n",
      "SI_QM 和 OE_QM 的相关系数是：-0.026601\n",
      "SI_QM 和 PO_QM 的相关系数是：0.133166\n",
      "SI_QM 和 C_QM 的相关系数是：0.267939\n",
      "SI_QM 和 X31 的相关系数是：-0.000000\n",
      "SI_QM 和 X32 的相关系数是：-0.000000\n",
      "SI_QM 和 X33 的相关系数是：0.000000\n",
      "SI_QM 和 X34 的相关系数是：-0.000000\n",
      "SI_QM 和 X35 的相关系数是：0.000000\n",
      "SI_QM 和 X36 的相关系数是：-0.000000\n",
      "X31 和 WS_MM 的相关系数是：-0.000000\n",
      "X31 和 CS_MM 的相关系数是：-0.000000\n",
      "X31 和 FS_MM 的相关系数是：-0.000000\n",
      "X31 和 Mn_MM 的相关系数是：0.000000\n",
      "X31 和 CL_SM 的相关系数是：-0.000000\n",
      "X31 和 Out_TE 的相关系数是：0.000000\n",
      "X31 和 S_EL 的相关系数是：0.000000\n",
      "X31 和 SN_QM 的相关系数是：-0.000000\n",
      "X31 和 UD_QM 的相关系数是：-0.000000\n",
      "X31 和 NI_QM 的相关系数是：0.000000\n",
      "X31 和 OE_QM 的相关系数是：0.000000\n",
      "X31 和 PO_QM 的相关系数是：-0.000000\n",
      "X31 和 C_QM 的相关系数是：-0.000000\n",
      "X31 和 SI_QM 的相关系数是：-0.000000\n",
      "X31 和 X32 的相关系数是：-0.225689\n",
      "X31 和 X33 的相关系数是：0.121730\n",
      "X31 和 X34 的相关系数是：0.055934\n",
      "X31 和 X35 的相关系数是：-0.138358\n",
      "X31 和 X36 的相关系数是：-0.053233\n",
      "X32 和 WS_MM 的相关系数是：0.000000\n",
      "X32 和 CS_MM 的相关系数是：-0.000000\n",
      "X32 和 FS_MM 的相关系数是：-0.000000\n",
      "X32 和 Mn_MM 的相关系数是：0.000000\n",
      "X32 和 CL_SM 的相关系数是：0.000000\n",
      "X32 和 Out_TE 的相关系数是：-0.000000\n",
      "X32 和 S_EL 的相关系数是：0.000000\n",
      "X32 和 SN_QM 的相关系数是：0.000000\n",
      "X32 和 UD_QM 的相关系数是：-0.000000\n",
      "X32 和 NI_QM 的相关系数是：0.000000\n",
      "X32 和 OE_QM 的相关系数是：-0.000000\n",
      "X32 和 PO_QM 的相关系数是：-0.000000\n",
      "X32 和 C_QM 的相关系数是：0.000000\n",
      "X32 和 SI_QM 的相关系数是：-0.000000\n",
      "X32 和 X31 的相关系数是：-0.225689\n",
      "X32 和 X33 的相关系数是：-0.144276\n",
      "X32 和 X34 的相关系数是：-0.106059\n",
      "X32 和 X35 的相关系数是：-0.072721\n",
      "X32 和 X36 的相关系数是：0.108181\n",
      "X33 和 WS_MM 的相关系数是：0.000000\n",
      "X33 和 CS_MM 的相关系数是：-0.000000\n",
      "X33 和 FS_MM 的相关系数是：-0.000000\n",
      "X33 和 Mn_MM 的相关系数是：0.000000\n",
      "X33 和 CL_SM 的相关系数是：0.000000\n",
      "X33 和 Out_TE 的相关系数是：0.000000\n",
      "X33 和 S_EL 的相关系数是：-0.000000\n",
      "X33 和 SN_QM 的相关系数是：0.000000\n",
      "X33 和 UD_QM 的相关系数是：-0.000000\n",
      "X33 和 NI_QM 的相关系数是：-0.000000\n",
      "X33 和 OE_QM 的相关系数是：0.000000\n",
      "X33 和 PO_QM 的相关系数是：-0.000000\n",
      "X33 和 C_QM 的相关系数是：0.000000\n",
      "X33 和 SI_QM 的相关系数是：0.000000\n",
      "X33 和 X31 的相关系数是：0.121730\n",
      "X33 和 X32 的相关系数是：-0.144276\n",
      "X33 和 X34 的相关系数是：0.090468\n",
      "X33 和 X35 的相关系数是：0.015596\n",
      "X33 和 X36 的相关系数是：-0.118430\n",
      "X34 和 WS_MM 的相关系数是：0.000000\n",
      "X34 和 CS_MM 的相关系数是：-0.000000\n",
      "X34 和 FS_MM 的相关系数是：-0.000000\n",
      "X34 和 Mn_MM 的相关系数是：0.000000\n",
      "X34 和 CL_SM 的相关系数是：-0.000000\n",
      "X34 和 Out_TE 的相关系数是：-0.000000\n",
      "X34 和 S_EL 的相关系数是：0.000000\n",
      "X34 和 SN_QM 的相关系数是：0.000000\n",
      "X34 和 UD_QM 的相关系数是：0.000000\n",
      "X34 和 NI_QM 的相关系数是：-0.000000\n",
      "X34 和 OE_QM 的相关系数是：0.000000\n",
      "X34 和 PO_QM 的相关系数是：-0.000000\n",
      "X34 和 C_QM 的相关系数是：0.000000\n",
      "X34 和 SI_QM 的相关系数是：-0.000000\n",
      "X34 和 X31 的相关系数是：0.055934\n",
      "X34 和 X32 的相关系数是：-0.106059\n",
      "X34 和 X33 的相关系数是：0.090468\n",
      "X34 和 X35 的相关系数是：-0.031885\n",
      "X34 和 X36 的相关系数是：-0.113211\n",
      "X35 和 WS_MM 的相关系数是：0.000000\n",
      "X35 和 CS_MM 的相关系数是：-0.000000\n",
      "X35 和 FS_MM 的相关系数是：-0.000000\n",
      "X35 和 Mn_MM 的相关系数是：0.000000\n",
      "X35 和 CL_SM 的相关系数是：0.000000\n",
      "X35 和 Out_TE 的相关系数是：0.000000\n",
      "X35 和 S_EL 的相关系数是：-0.000000\n",
      "X35 和 SN_QM 的相关系数是：-0.000000\n",
      "X35 和 UD_QM 的相关系数是：0.000000\n",
      "X35 和 NI_QM 的相关系数是：0.000000\n",
      "X35 和 OE_QM 的相关系数是：-0.000000\n",
      "X35 和 PO_QM 的相关系数是：0.000000\n",
      "X35 和 C_QM 的相关系数是：0.000000\n",
      "X35 和 SI_QM 的相关系数是：0.000000\n",
      "X35 和 X31 的相关系数是：-0.138358\n",
      "X35 和 X32 的相关系数是：-0.072721\n",
      "X35 和 X33 的相关系数是：0.015596\n",
      "X35 和 X34 的相关系数是：-0.031885\n",
      "X35 和 X36 的相关系数是：0.092664\n",
      "X36 和 WS_MM 的相关系数是：-0.000000\n",
      "X36 和 CS_MM 的相关系数是：-0.000000\n",
      "X36 和 FS_MM 的相关系数是：-0.000000\n",
      "X36 和 Mn_MM 的相关系数是：-0.000000\n",
      "X36 和 CL_SM 的相关系数是：-0.000000\n",
      "X36 和 Out_TE 的相关系数是：0.000000\n",
      "X36 和 S_EL 的相关系数是：0.000000\n",
      "X36 和 SN_QM 的相关系数是：0.000000\n",
      "X36 和 UD_QM 的相关系数是：-0.000000\n",
      "X36 和 NI_QM 的相关系数是：0.000000\n",
      "X36 和 OE_QM 的相关系数是：0.000000\n",
      "X36 和 PO_QM 的相关系数是：0.000000\n",
      "X36 和 C_QM 的相关系数是：-0.000000\n",
      "X36 和 SI_QM 的相关系数是：-0.000000\n",
      "X36 和 X31 的相关系数是：-0.053233\n",
      "X36 和 X32 的相关系数是：0.108181\n",
      "X36 和 X33 的相关系数是：-0.118430\n",
      "X36 和 X34 的相关系数是：-0.113211\n",
      "X36 和 X35 的相关系数是：0.092664\n"
     ]
    }
   ],
   "source": [
    "for col1 in data3.drop(columns=['Rate']):\n",
    "    for col2 in data3.drop(columns=['Rate']):\n",
    "        if(col1 != col2):\n",
    "            r = pearsonr(data[col1], data[col2])[0]\n",
    "            print('%s 和 %s 的相关系数是：%f' % (col1, col2, r))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a377b58e-cc42-446c-9297-a5bf4f23826a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 相关系数分布图\n",
    "correlation_matrix = data3.corr(method='pearson')\n",
    "plt.figure(figsize=(10, 8))  # 可以根据需要调整图形大小\n",
    "sns.heatmap(correlation_matrix, annot=True, fmt=\".2f\", cmap='coolwarm', square=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "f6c84285-99a9-4275-b0c9-cc92373e89bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#特征值降维\n",
    "def PCA_demo():\n",
    "    data = data3.drop(columns=['Rate'])\n",
    "    transfer = PCA(n_components=2)\n",
    "    # transfer = PCA(n_components=0.9)\n",
    "    data_new = transfer.fit_transform(data)\n",
    "    print(data_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6fb48557-61ef-4db3-8b6e-aa9006b0ea8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = data3.drop(columns=['Rate'])\n",
    "y = data3['Rate']\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=22)\n",
    "# 3 特征工程 - 标准化\n",
    "transfer = StandardScaler()\n",
    "x_train = transfer.fit_transform(x_train)  # 计算 + 转换\n",
    "# 测试集的转换只需要调用transform 目的是让训练集和测试集之间产生一定的关联\n",
    "x_test = transfer.transform(x_test)  # 只转换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "72caa938-a960-4297-b1bd-aa24dc70fd8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8000,) (8000,)\n",
      "正规方程均方误差： 0.003216811229219352\n"
     ]
    }
   ],
   "source": [
    "# 正规方程\n",
    "estimator = LinearRegression()\n",
    "estimator.fit(x_train, y_train)\n",
    "\n",
    "# print(estimator.coef_, estimator.intercept_)\n",
    "# 5 模型评估\n",
    "y_predict = estimator.predict(x_test)\n",
    "# 均方误差\n",
    "error = mean_squared_error(y_predict, y_test)\n",
    "print(y_predict.shape, y_test.shape)\n",
    "print('正规方程均方误差：', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "207b7328-3ff0-48c1-88c6-5893d8f2d940",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.scatter(y_test, y_predict)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a617487f-79ea-4ded-acec-4bd86d1ff27a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8000,) (8000,)\n",
      "梯度下降均方误差： 0.003227750602052568\n"
     ]
    }
   ],
   "source": [
    "# 梯度下降\n",
    "estimator = SGDRegressor()\n",
    "estimator.fit(x_train, y_train)\n",
    "\n",
    "# print(estimator.coef_, estimator.intercept_)\n",
    "# 5 模型评估\n",
    "y_predict = estimator.predict(x_test)\n",
    "# 均方误差\n",
    "error = mean_squared_error(y_predict.reshape(-1, 1), y_test)\n",
    "print(y_predict.shape, y_test.shape)\n",
    "print('梯度下降均方误差：', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "67d04e42-7ec0-48a9-9bed-7986babb5d51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wlHqrxZWRmkAbDSPuJ7ssff78+Zg+fTqGDBmCzMxMrFmzBpWVlZgzZw6AjryZs2fPWnrtHD16FKWlpRg+fDguXryI1157DWVlZXj33Xctr/nYY4/h5ptvxtKlSzFp0iR8+umn2L59u6WKi2W/hBBCpIlVTfH9bdQMJpyN1ODK/zsbqREaDUtPjMHeUxfx6YGzVH5OZJEd8EyZMgXV1dV44YUXYDQakZqaivz8fCQmJgIAjEYjKisrLdubzWb84x//wH//+1/odDrccsst2L17N5KSkizbZGVlIS8vD8888wwWLVqE3r174/3337f04GHZLyGEEOfk9rdRAz9Ss+CjQ6htarP5t+gwneTzrXsqFZQZ8dtXv/W6LtrEN9DSEoSQgBVo6yh1Vn8bNdYQ8+V1yHiB9n1TkxrXb1otnRASkLx1zS13KiwXb+NhzdX+NtYX9rhwPRZ/5tqoUmeMTKktEL9v3oYCHkJIwPFkHou3MLdz+OTAOaZtXelvI3Rhd4bvxbNhVwVmZCcLBixy+vl4Y+flQPy+eSNFfXgIIcRXKe3+6+tKK2pQ09gquV1suE5xfxuxBT9ZLNl2RLRSzJc7Lwfq980bUcBDCAkogbpqOWswcMegHoqmhZxd2FnZr4TO8+XOy4H6ffNGFPAQQgKKL48WuII1GMhJMSh6fakLOwuxEQ9f7rwcqN83b0QBDyEkoMR11au6na9wd9Cg1gVbaMQjSKvBogl9BUePvL3zsi+PTvkbCngIIYGFdc7Fz1Iq3L14qdoX7F2/VOHTA2dRfLwa+QeNWLLtiOB23t552ZdHp/wNVWkRQgJKVWOLqtv5Er4JoH0VlUGF8mj+wm6qa1YlVlzx7S9M2y2a4N1l3WquC0Z9fFxDAQ8hJKAE+hSDuxYvtb6we4oGwJJt5RiberX/jjcGBWoEmtTHx3XUaZkQElDM7RxGLN0hOhKhQceFqOipUZ1+ofRFcvvwqIHvDO3tQYHSYMwfuky7So3rNwU8hJCAw19AAOEphkC4gLgTf2EvLDfhkwPnmPr/uOLezER0Cw/Gsu3HHP7N1z9TPkAXCyADJUCngEcmCngIITxvHw3wJHdNA5nbOZScqEbx8WoAHNo5Dqv+c8L1A5bJl4OCzlr/zNvQWlqEEKKQu3JZfI27Aj+h140ND3bpWJXy9qUnnKE+PuqhgIcQErCCtBqfuwCqSWqNp5V3pSEmPFi1nJOLbp7akmIfFLhzZEut1w30JHs1UcBDCCEBiGWNp0e27IP1Ek8sIz8sryvEvmTbHayDAk+ObAm9LmtQJFXuz0/XUR8fadR4kBBCvJi5nUPx8WpLEz61FplkWQrCfldia13JfV0AiAgJsvl/Q1QI3ronDbemxks+Vy775n5ii5wa65ox5719yD/Itqq8PbHXtf+9FZQZMWLpDkxbW4LH8g5g2toSjFi6A/kHzzl81u5uGBlIaISHEEK8lDsTq5XkfHDouMg+/3k5RqcYHC6y5nYOu36pYnqthmaz5b9jw4MtDQTLztYDOC/72MTYBwUsi5w+vHk/Zpy8iDH9DMzTUVIjW/zvrb2dw8Ob9ztsZ6xrxkOb99s8Zv1Zu6thZCChKi1CCPFC7u69wlr9I8a+KsiV/jvW7ykiRIe73/lB8XHZiw3X4cVJqbh1QHcA8t83a4DJ+rqx4TrUNLYx7Zuf5vtzdhJGpxiQnhiDvacuBmSSvRrXb5rSIoQQL8OSB2O/oriz1xKaEpNa40mK9QiR2FQOK+v3NDQpFtFhOkWvw7+Xrvqrkxc1jW1Ysu2IZTpJ7sgWyzSenNdlDXaAq7+X9btOYtraEvz21W9Rd6kVkwb1QGbvbgET7KiFprQIIX7NG5cakCKVB8NaZi006mKIDMG0Yb2QFBeGqUN7Ytn2Y4oShvkEYJYpIhb8e9p76iJe/kN/zFGwREVUmA61TW34teWyzeN80LL6njTZ1UxS03g8T1RJWb8PmsaSjwIeQojfEr7g669c8MO9NgBS0nvFPrC72NiKhzcLlJzXN2PZ9qOW/+dHU2qbro48aDWOCcs8+6og1iRlVhcamjFpUA+8dU8aFn9WDlO9+GtrANw2wICcFAPiwvV4/N8/AXAcQbEOWr578hYkRIXIOmaWAFPtxVPFjoMl+CLCKOAhhPgl0R4z9S02SxB4Y3dlub1XhAI7rYZt1KbuSqAzL+dGJMWFXQmWWvDwlQRaqdW91W54x78nocaQg3pGY/MPp3CqpgmJsWGYnpmE4C4dmRnFx6udBkfWI0jPTUxRNILk7L06WxVdTb7cRLGzUcBDCPE7cqZZvHGaQE7vFbHAjrV6nR81yNtTabP0wmqthqkqSK2pHKF+MkKNIWeNvF7w+XJGxSYN6oFVdw3GI1v2M/+eAOn3yldT/fXjMrevH0adleWjgIcQ4nfkTLN44zSBs9EC61EWAKrmz1iPGrAuvaHGVI4a/WTkjordOqA7VkCDhzZLj/TIae43LjUBl1rNmPfBT0zHoxR1VpaPqrQIIX7n68POK2rsWV/wvQU/WmCIsr2wGaJCLKNR7sifscaPsNx2paT7iyuN8ayrw6wb47GKDrWtwrJ+T4CyZotSVWf2zQcB4NYBCXjrnjQkRIkHD0qCMUNUKNN2Sgi9D8KGRngIIX4l/6ARG4pPKXqut00TSI2yuCt/xhpL80O5Uzkr70qDVqsRfE9ii4529NIRn3JkHRWzD1qsf8eF5SZ8cuCczXtQ0tyPZdSrqz4IQVoN6i5drSjjE+rrL7Vh3a6TDs+hzsquocaDhBC/UVBmVJSMyrNvpufNzO0cNuyqwJJtR1x+LX7KxjqHB5Df/LD1cjsycreL9poR24/U/ngP3pyMhbc6H01ytTu1Wm0M+PcCSCcwR4fqMDM7GY+MusFp4OeNCfaeosb1mwIeQohfMLdzGLF0h+Ipnm7hwSh9Oscn7pzldDV2VmIOiAcvUr9PqSAJEB5lEUsOZ/38Vt012NI1WYy39F5i/Zz4I5trVSlnXfbf2e/DG6hx/aYpLUKI15Jz4XI1n2XSoO4+cTGRGgXh8e9kxbTBiAnX40JDM05WNWJLaSVM9S2W7cSmbJQ2P1S67hPr5/fMp2UYm5rg9LMSqu7qDNbTZaa6S1iy7YjglB//WVr3Rwrk0Rx3oYCHEOKV5A7pu5rPMjrF4NLzPUFOub1YgPGX392AfxWfxKmaJvSMCcNN8RGoudSK4uPVivKD1u487hBcsFZ4WZOzNIMv9aDhg6/i49WyStW9sV2Cr6OAhxDiFaxHc05WNdo0B+TxF4GVd10dteAvpq6U6fpK1QvrKMiiCX0xIzvZIcCQmmKxDihZf587fv4/5OaXO+TWyB1lkfP52QdH3jKF5YzcgNwb2yX4Ogp4CCGdjjXXgR/ZsG8YlxAVgkUTUmT3g/G1qhfWi2ZchF4w2JGaCrMeVRidYmBegmHtzgo8PuYmS9djJYYlxyI2PJhpFMQ6OGIdCezsoEhJQE5dldVFfXgIIZ1KyUrb9km4prpmPLx5H24f2HGBE7uMSfV/8XZym+vxWKfCrFctB8DcX6edA/5VfJJpWzFBWg1enJQquZ31aJzYd8d+hfOCMiNGLN2BaWtL8FjeAUxbW4IRS3dIroCupvTEGCiNr7ytXYKvohEeQkinUXOlbQ2Az34yYuVdg7Fk2xHBO365eSXuonS0Qc6SE9bkdp7mRxXGpSagX/cIHD7XIPm8k9VNTK/vzK0DEvDgmWS8/X2F4L9rcHU0ztl3x3o6qL0dwouoejhHZu+pi7KWsbBGXZXVQQEPIaTTqNkpmL9Qx4TrUfTUKNGAorOnBlzpr6K0uZ6SEYILDc0oKDMyBTsA8MmBM8i+oZvLwcPCW1Mw8LpoPPNpmU0/H/vfEWsV2TOflkkGRZ7IkVHyGchZ0oJIUzSltWrVKiQnJyMkJATp6enYuXOn0+03bdqEgQMHIiwsDAkJCZg5cyaqq6st//673/0OGo3G4WfChAmWbRYvXuzw7waD91dVEELEuWOo/kJDsyVhdtKgHsjs3c1r8nNYp2CcYVlywp6SEYK4cL1laotFQ7OZ+T3Ys19KYmxqAvY8PRpbZmdg+dRB2DI7A0VPjbJ5b+xVXeI5QZ5cUkTuZ+Br+WW+QPYIz/vvv4+5c+di1apVyM7Oxttvv43x48ejvLwcvXr1cti+qKgI9957L5YtW4aJEyfi7NmzmDNnDu6//358/PHHAICPPvoIra1Xv5TV1dUYOHAg/vSnP9m8Vr9+/bB9+3bL/wcFBck9fEKIF3HHUL23Dv+zTsGwjDbILfuWs8AnP6oADRSNvj3/eTlG3RSPvacuMh2b0hEvNT9nT+TIyF1kVcmSFsQ52QHPa6+9hlmzZuH+++8HALz++uv46quvsHr1auTm5jpsX1JSgqSkJDz66KMAgOTkZDz44IN45ZVXLNvExtoO1+Xl5SEsLMwh4OnSpYusUZ2Wlha0tFxtsFVfX8/8XEKI+8m9CDjrGiw0/N/ZlTnWlDbyEyOn7NvZVJg161GFql9bRLYSx7+HjNxvbEZWxAIYscoxU10z5ry3D/Ny+iApLlzws1NjlXaeJ4JklulI+07LNLKjLllTWq2trdi7dy/GjBlj8/iYMWOwe/duwedkZWXhzJkzyM/PB8dxOH/+PLZu3WozXWVv3bp1mDp1KsLDw20eP3bsGLp3747k5GRMnToVJ06ccHq8ubm5iIqKsvz07NmT8Z0SQjzBeqVt+1O75srPvJwbLdMaK6alWR633xawHf73hsoca6yjCO4abRCbCrNmPS3mShBgP40kNGUnNeIFAMu2H7P57PKvrNb+6YGzKK2owaIJfRUfI0+rAS7KaAjoCqnpyMdy+njdNKw/kbWW1rlz59CjRw/s2rULWVlZlsdfeuklvPvuu/jvf/8r+LytW7di5syZaG5uxuXLl3H77bdj69at0Ol0DtuWlpZi+PDh+OGHHzBs2DDL419++SWamppw44034vz583jxxRfx888/4/Dhw+jWTfguR2iEp2fPnrSWFiFeRs60Bsu2che9ZOHqaFHx8WpMW1siuZ27FzC1fh9xXfUAB1Q1tji8J35tKzVGUADHtbdYfx/OJESF4PaBCXjvh0o0tphdOjZPtifwppFHX9Fpa2lpNLYfDMdxDo/xysvL8eijj+LZZ5/F2LFjYTQa8eSTT2LOnDlYt26dw/br1q1DamqqTbADAOPHj7f8d//+/ZGZmYnevXvj3Xffxfz58wX3rdfrodfr5b49QoiHyclJkdpWzVwZnhorVystKVcb61QY6zQYK/spOzVGskx1zVjzfQV0Qa63lPNkR2NvWesr0Mj6lsTFxSEoKAgmk8nm8QsXLiA+Pl7wObm5ucjOzsaTTz6JAQMGYOzYsVi1ahXWr18Po9F2aLmpqQl5eXmW/CBnwsPD0b9/fxw75th+nhDie4K0GssSERcaOi6MZpGEHWdVWHJyZVioUVnFH7Oz6TvAPRU59hVQYr9Toe2jQoOx8q7BiI9UP0FYjbwZ7spPq7nd5dfxVLWWN5P7XfE1skZ4goODkZ6ejsLCQtxxxx2WxwsLCzFp0iTB5zQ1NaFLF9vd8NVV9rNpH3zwAVpaWnDPPfdIHktLSwuOHDmCkSNHynkLhBAvpcYoCqBurozao0VKVxJXSu7vVGj76DAdwJ75IIkPdPgRL7X6MKkhkDsai31XFk1IQUx4sF9Mv8me0po/fz6mT5+OIUOGIDMzE2vWrEFlZSXmzJkDAFi4cCHOnj2LjRs3AgAmTpyI2bNnY/Xq1ZYprblz52LYsGHo3r27zWuvW7cOkydPFszJeeKJJzBx4kT06tULFy5cwIsvvoj6+nrcd999St43IcSLOKvWkdsNV+nyC0KUVFZJ5WcoWUlcCZbfqfVxnKxqwuvbjzpsX9vUBrVYLwsRpNXg9oEJol2VO4O3tjRwN7HvirGuGQ9t3mfzmJKbEG8hO+CZMmUKqqur8cILL8BoNCI1NRX5+flITEwEABiNRlRWVlq2nzFjBhoaGrBixQo8/vjjiI6OxqhRo7B06VKb1z169CiKiorw9ddfC+73zJkzmDZtGqqqqnDNNdcgIyMDJSUllv0SQnyT2qMoaubKyB0tYh1RcXcOB8vvdMFHh7D4s3KY6j03qpGeGGP574IyI9Z4KNgJ02kRGRqM8/Vs34lASiqWu7yLp5fkUJOsKi1fp0aWNyFEXe6oXuLvWAHhfiesJ2s5x1Z3qVX1yjCl1KiAUmriAAM+P2gS/ffoMB1empzqsN6ZO83L6YPfGCKYvhNqTa36CiXfFfuKO09Q4/pNq6UTQjqVO/rTKFl+QQg/WiR2Steg42KYnhgj2VPm+c/LPZYE2hm5KPzvYs/Ji063q21qw0Ob93ss2IkJ0+GRUX2YvhNqJaj7EiXfFV9N8qbFQwkhnepkFdsq23LzK8alJmDUTfH4V/FJnKppQmJsGKZnJiG4C/t9HutinXtPXVS1i7KrPJ2Lwv8upg7thWXbj3p039bHIDS69rfJqTbTU989eYvgshfuaGfgC1z5rvhakjcFPISQTmNu57CltFJyO0OkXnZ/GqGpiXeKKmRPTbBUVn164CzTa3nqAqHmsgss+N9Fy2XXysOVmpfTB3l7TjtMQ90+MMFh6oyfnpo0qIfNa6i99IevcOW74mtJ3hTwEEI6TWlFDVPS7LRhvWTdVatZ9QVIV1YprQxzV3Ks2k0DxczKTkJOisFy3MXHq920J2F8Lskjo/rgkVF9bH6XFxtb8fBm9u8AazBqqrvkV0nNSr4rnmqSqTYKeAghnYb1IpMUFy690RXumppwVlmlpDLM3cmxYiNTarA/Tr5hnam+GbHhOtQ0qlfKLkaoWaN1a4ARS3cwfwfM7RyqGtgWS1348SE8/0W5Tbm+ryc1y/muuLNJprtRwEMI6TRq9szhdcbUBGuuj/XCpmqOQFkzt3MoOVF9ZbSFwyt/HACtRoMvDxvxXon09KEz0aE6rLwrDRlW3a2FAjdPcNasUc53oO5Sq6zjb25rR3Ob7dSdL5dq84RGMS82tjhMCbqrSaYnUMBDCOk07lhfqrNWJWftouzO5NiCMiMWfHTIZvRhxbfHER2mQ85Nwsv/yFF7qQ15e04hu0+cZX9CgZs7aADEhgfjmQl9YYgKdTqNxPrZFpab8M9dJ1VZJ8wfkpqFRjHHpib4zfQdBTyEkE4jd2SEhZJRI7VyMli6KLtrBKqgzIg57+0T/LfapjZs3XeG+bWc+fygCd2jy/G/4/rKaljnKg5AdWMrDFGhkr8X1u/AJwfOqXb8aowcemNukD8tdEoBDyF+wB0nSk+dfNVeX0ruqJHauTRSFwh3jECZ2zks/qyceXtXrd1ZgRE3XNMp62Cx/F5YvgMx4TrUNLZ2yvEJCbSGh52BAh5CfJw7TpSePvmqub6UnFEjZ2sIzXlvH1bdlYZbBwi/X6UBobvyljy5REQ7B/xt2xGP7c8ay++F5TswuGc0vvn5/zrl+Oy5M6eLXEWdlgnxYe7oDNtZ3Wb5kZFJg3og0yopVgmWrrosawg9smUf8g+ec3i8oMyIEUt3YNraEjyWdwDT1pZgxNIdTL8b1u7N7shbst6HkLDgIObX+Pl8g6x9ukru78XZd2DlXYOx/3Rdpx4fTyqnC/Bsl25/RiM8hPgodyS/sp58fSExU2rUSCqXBugYyXho8368pdVY7rBdvRuXGn3gAEwd2hNfHDzHPHIkZ1RhXs6NyNtTKTh6NzrFgD9vKMV3R6uYX88T7EfmWEfXxL4DpRU1bpnOUlKq7WpOlzfm/XgrCngI8VHuSH5lCQI83W3W+oQe11UPcEBVY4vDyV3sxC92nHJGRfggj/9vV4NMsbylMH0Qumg1WLb9mOUx66lEsfc4LDkW0WE6m+osIYZIPYYkxqBXbChqGlsR21UPQ6Tt73HtvUPxm2e+9FgyMovY8GD87Y5Up4t7LpqQgpjwYJjqLjm8N/vvQGG5+OKmUvRdtAjSatDUarZ5PCpMp+j1XMnporwfeSjgIcRHuSP5lTUPxFP5IvkHjXjm0zLRu3H+5A5A9olfzqiI9UKJLEHmhl0VmJGdLBn0tLfD5v01tpgdtuNHjh64ORmf/WQUfI8AJIMdAGi+3I671/3g8Hzr4wzuosUDNyfj7e8rJF/PU24fmGCzuKdQztVDm4Ur1ISaJH5ywHGaktWc316P5d/84vB4XVMb5ry3D/Ny+iApLlz10Tl+Oz7oLSw3Yf2ukw7bUd6POAp4CPFR7kh+rfmVrdss63auyM0vl7zomq4kF4v9m7MTP59Lw1ppJCdwXLLtiOS6XQVlRsGlD+zx/y70u+CTq6ND2U7l9kGR2O9o4a0pOHPxErYdUj4SoqYP9p7BwltTFJXBG+3eo9LpLL667/09pwX/nT8u69E5Q2QIpg3rhaS4MNEASE5VIUuTR1d7AvnzFBklLRPio9yR/BobHqzqdkrlHzzHNMLg7OInlfAZpNVg0YQU5mO6NiJEVvDoLMmbJWFajtpLlxU9z9nv6K7hiS4elXoaW8z460eHFJfBcwD++vEhtF5uV1Q2br0avKmePdg31Tdj2fajThPb+Zwu6/3Y7/e5iSkoLDcJFhMIsZ7OlsOVZHxfQAEPIT6K9UQp5+7MEBWq6nZKmNs5PPNpmSqvZX3i59d7+vTAWRQfr0b+QSOWbGPrXRMbrkN6YgzSE2PA+usUCib4Y1hW+N9O6WEjROziWOWBUTw5th1SPg0FADWNbcjI/QYnqxplP5ev7kuKC3PpGMSCYKmqwtEpBkUBspzgrrOqMz2JprQI8WHuatrn7GKspPSWxzJc3jHloO7ik4XlJsz/4IDiIKOmsQ2/ffVbTB3aC3Kqg+3XbFr82WFZIwSexF8c+c+ooMw7prN4l+zWr1KiprEVy7YfQ1d9F/zawj4qNmVIT4xLTXB5NXhn003OqgqLj1cr+u6yjki6c7kTb0IBDyE+zl1N+8TyCZSuksxaUaL2GlcABJM75TLVdUxPKLG93IR1KhyDO10bEdJpC4F6kgZAOydvrGRD8Un8v9/3kcy3YeEssV2sqlBJnyU5a9B1xoK7nYGmtAjxA+5o2pdgP7weqcfcnD5oudyO4uPVshqhyRkuV9Kp1hNcybfJ+1E40dUb8LleFxtbmXNEfBkHOJSUS6ltakPJiWqn08hyLdl2hDk/Ji5cz/y6SqazO2vBXU+jER5CiAP7UaOTVU3YUlop2h/GGZZmhos/O2wZLpdbPcWzb+LnLWLDg93S5E5Niyb0xZJtnlsI1BtEh+pQe4l96vThTfvw8h/7i04jK8FcQi4julIyne2Oik9vRCM8hBBB/KiRvosWr28/6tB7hzWZkaWZoam+BSt2/GLZ73MTU2TdQd82IMEh4dNb9Ip1X4K3qzQAJgxIQHhwF78f2bGX0zde1nes9lIb/vLePizffgwtl9vx9zsHYtP9w7F86iDMy7kRGsgf9WFdOoI1gfyRW25A0VOjFOfuqVnx6Y0o4CGEiFJjnR/WYfBl249agif+Ljo6lK177RcHjVg0IQWLJvRl2t6TDqi8ZpOaOHT87u7bsMfl14pi/Ky8xdZ9ZxAVpkMUYw8joOP3xZeZ373uBzzx75+g76LFYzl9BKusWF9TqoScdWQl+4Y4l3L3APUqPr0RBTyEEFFykhnFyBkGtw6exqUmYOVdaczPXbKtHGcuNjFvT9Q1uu+1nX0IstU1taHu0mXcNkBZR2LrUc5xqQkoemoUtszOuDLq0weGSPbcG2c3Bp4YgWFZcNfXUQ4PIUSUGsmMcnJy7CtBMnp3k/Xcf+4+xXS8RF1RIV3Qdtn1snFP48cli45V4dZUA74sM8nKYxIq2bauYnpkVB9s2FWBJduOSL7WtREhom0bpBacBdQZgVGz4tMbUcBDCBGlRjIjf7IWWwLCnnXwJPe5pHPUNV/Gpwd9tzFd7aU25CvsO2RdZh4Xoce1ESFIT4zB3lMXcaGhGTclRMIQqcf5+hanS0dcbGzBiKU7RNs2qN1zS4yzBXd9HQU8hBBRctb5cWZcagJuG5CALxguivbB07jUBMzL6WNTIaYWrQayGgkSIsZ6FEejAaxb/XTVd3E6cnT7wAQ8vHm/4KKoc97bh9/dGIeRfa7B9Mwkvx6BcTfK4SGEODV1aE/RYAdgG0ovKDNim0Sw4ywP4ZFRfWCIVL8Ki4Id4g72fQ35rs72fyVaDXD/yGR89pPRaUD0n6NVWLLtCG5a9CVeKTiiWs+tQEMjPIQQQVJdd1mH0lkXyuTgGDy1Xm7Hv4pP4lRNE35j6OpQGq9UbHgw7hjU3eu7HxP/Yv83wHHA2p3Si+Ty2jlYFtVdeCv7wrekAwU8hBAHfGdksSBlXs6NeGTUDQ53l0JJlyx9eDpes49N8JSbX461OytUH4XRd9GgZOHvsffURQp4SKdS+tVeu7MCj4+5CcFdaJJGDgp4CCE2pEZkNADy9lTiL7/rbRPcXGxsxZJtjmtljU81MO03KS7c8t+5+eWWO1m1tVzm8I+vf8b/juurqKNzhF6Lhhbfq0gi/qOdA/5VfBIzspMpn0cGDcfJXEXNh9XX1yMqKgp1dXWIjIzs7MMhxCsVH6/GtLUlktvFhuskVzWXs9zDogl9ERehR2xYMO5dX+r2ZQ5W3TUYWq2GKsCIT/rtjdfg0Nk6m2VLWJd7ESJWEu8t1Lh+U8BDCLGx5PPDqk71aNBRteJsaqozqqViw3XY8/RorNjxi+JV0AnxNhpAdqNAoXw9V4Ind1Dj+k0TgIQQi4Iyo+p5LRyuBjNi94udUS1V09iG0ooa/OV3vRET5lvLIhAihoP0ci/W+Hw9+6ld1rXyfAkFPIR4GXM7h+Lj1fj0wFkUH69mPnGpsd/nPy932+vPyk5yaFvf2SPm28tN+O2r3+JiE/uq2YR4O6nlXnhqrJXnSxQFPKtWrUJycjJCQkKQnp6OnTt3Ot1+06ZNGDhwIMLCwpCQkICZM2eiurra8u8bNmyARqNx+Gluto045e6XEF9TUGbEiKU7MG1tCR7LO4Bpa0swYukOxXdZcoIn1moqpXJSDDZrDS2a0LfT++Cs23Uy4FYJJ75LI+MGgWVZGDXWyvMlsgOe999/H3PnzsXTTz+N/fv3Y+TIkRg/fjwqKysFty8qKsK9996LWbNm4fDhw/j3v/+NPXv24P7777fZLjIyEkaj0eYnJOTq3aDc/RLia9QeWpYTPJnbOez6pcql4xdj3VCQb1s/aVAPxEWwL6zoruMixJdEBAcxb8uyLIwaa+X5EtkBz2uvvYZZs2bh/vvvR9++ffH666+jZ8+eWL16teD2JSUlSEpKwqOPPork5GSMGDECDz74IH788Ueb7TQaDQwGg82PK/sFgJaWFtTX19v8EOKNXBlaFhrFYQ2ezO0clm8/ivQlhVjx7S9Mx9pVz37S5Ql1Y5aziro7+McgPQkk9S1mpu26hQcLdiy3P1fEdWW76ejsv1W1yOrD09rair1792LBggU2j48ZMwa7d+8WfE5WVhaefvpp5OfnY/z48bhw4QK2bt2KCRMm2Gz366+/IjExEWazGYMGDcKSJUswePBgxfsFgNzcXDz//PNy3iIhnULO0LL1wn5C1RWGyBA0XzaLBk/86s7t7cBfPzmEWsb8FQ2AqDAd8/ZARyXUS3f0F6z0YFmnKypMh8vmdvzKeKInxBfJad/AYsmkVIcbDOFzhR7RYTrUNbW5tFaer5A1wlNVVQWz2Yz4+Hibx+Pj42EyCa80m5WVhU2bNmHKlCkIDg6GwWBAdHQ03nzzTcs2N910EzZs2IDPPvsMW7ZsQUhICLKzs3Hs2DHF+wWAhQsXoq6uzvJz+vRpOW+XEEWUJB0rGVoWHcWpb3YalPDB00Ob98kKduSekLuFB6NkYY5oWSu/Ejr/+kL7q21qo2CH+KWokC546540rLprMGLC1asSfPDmZNw6wPZvTuxccb6+BbVXgh2hv0GAba08X6Go07LGLnOK4ziHx3jl5eV49NFH8eyzz2Ls2LEwGo148sknMWfOHKxbtw4AkJGRgYyMDMtzsrOzkZaWhjfffBNvvPGGov0CgF6vh17fuXkCJLAo7WfBOmTMb8e6PpVaDFEhmDq0J/OK5RoAf7sjVbL1/bjUBKy+J83xzjMqBHWX2tDUSsEO8U8P3XIDgI5V1qUaeAqxvwmJDdfhxUmpuHVAd5vtpKbL+ZHUkC5BNmvVsa6V50tkBTxxcXEICgpyGFW5cOGCw+gLLzc3F9nZ2XjyyScBAAMGDEB4eDhGjhyJF198EQkJjr9MrVaLoUOHWkZ4lOyXEE8TW3+Kz5tx1gwsPTFGsvmeVtOxHeD+iiprj9zSG/NG/wZfHDzHtH10mA4v/6FjGoule+voFAMi9DoUn6gC0JHUXFpRjeXfsOUUEeKLth85jz0nLyp+Pn+qmJWdhJwUg2hnZJbp8tqmNvzrz4Nx9HwDTtU0ITE2DNMzk/xurS5ZAU9wcDDS09NRWFiIO+64w/J4YWEhJk2aJPicpqYmdOliu5ugoI6kR7EmzxzH4cCBA+jfv7/i/RLiSSx3Uc9/Xo7RKQbBk9LeUxclS7TbuY7tMnt382jVRPYN1yBIq2EehVo5LQ0Zvbth+faj+Oeuk6i9dPXu1X60S2hEbOveM6hvpr44xL+5EuzwNADyy0z46wTxaSfWc8X/27Lf5m/1naKKwB7hAYD58+dj+vTpGDJkCDIzM7FmzRpUVlZizpw5ADryZs6ePYuNGzcCACZOnIjZs2dj9erVlimtuXPnYtiwYejevWPo7fnnn0dGRgb69OmD+vp6vPHGGzhw4ABWrlzJvF9COou5ncOGXRWKko55cnN4lFZNyM3FSbBKWBzUMxoRIV3Q0HxZ9LU7pqJakf5ioWB+kPVoFwDhEbF6zwVzvJAuWjRfpgVBiW+ROq8A7OcK62AHYBuZ9jWyA54pU6aguroaL7zwAoxGI1JTU5Gfn4/ExEQAgNFotOmNM2PGDDQ0NGDFihV4/PHHER0djVGjRmHp0qWWbWpra/HAAw/AZDIhKioKgwcPxvfff49hw4Yx75eQziA0QuGMWGAjN4dnWHIsomVWTAEdAcmiCX2xZNsR0eooa3zCYm5+OdburBAdheLvLW8fmICHNu8XfT1+tGvxZ4cBaLymNJyCHeLLnN0wSVVDimEZmfY1tHgoIQqJ5ew4s2V2huCdmLmdw4ilO5yWaBuiQlD01CgEaTUwt3Oioyj2z4sND8YzE/rCEBVqmefnjx0QHvGJCu2CP2cnIykuHIXl5/HFQedNDxOiQrBoQgoWfnwQdZeER4AIIe4xL6cPHsu5UfTfpf7epYidtzyJFg8lpJPIrZKy7jYsRKpEG7AtDy2tqGEa3eEAVDe2whAVisze3SzPH51iwNycPogKtS2HjQ7T4bYBCQjVdcGy7cfwWN4ByWBHowF2PP475JcZKdghpBNsKa102v6Cr4a0X8sumnHRXH/ptKyoLJ2QQCenSoq1n4WzEm375EG5JyD7/j32+4gO1WFmdjL6XNsVD2+WN2rFccAznxySDIwIIe5hqm9xmsdjbucQEaLDHwb3wNnaS+geHYrsG+IADrh73Q+Srx+QnZYJIR3kBBxy+lmMS03A6BSDZCm33BMQv73YNFztpTYs234UXfVdFA15f3rgrOznqN1dlpBAJnZOKigzYsFHjh3VN5dW4qXJ/SW7nftTp2UKeAhRgDXgWDShL2ZkJ8tK+OMX2HRmWHIsYsN1TA3L+HV1WKbhfm1RNiWlJOeXgh1C1CN0TiooM2LOldwde7VNbXho8z48eHMy3v6+QnAbDv7VaZlyeAhRgK98EDsN8Dk7coMdVkFaDe4Y1INp20mDuiNIq/Fos0JCiOfEhOkcRmHM7RwWf1Yu+dz39wTOkksU8BCigNwkY3eIDGVLOOwRHQpzO+c3iYeEEFtCo6WlFTVMPa1qnRQa8GXpLOsB+gIKeAhRSKzywRAVolqzLrGFSAvKjMzrWi3ZdgQjlu7AyapGl4+HEOJ9apva8MQHB7DrlyrLOUKNGxzrxob+gHJ4CHEBa5KxEmILkS6akIK/fnJI1msZ65qxbPsxRIfpUHdldWRCiP/4+MA5fHzgnGUtu7iu6i2c7S+jwxTwEOIiliRjuZwtRPrQZuEkRBYU7BDi32qb2jDnvX2Y+/s+qr2mv5Sl05QWIV5GaiFSV/DPZ2k4FhasRXhwkIt7JIR0hg27TzJtFxYcJFl84S9l6RTwEOJlPFFNFdJFK3kH2NTajsZWs1uPgxDiHvaLgYp58ObeADqv+MKTKOAhxMt4Yr7cVN+C4dd3w1v3pCEhyj+GqwkhtqJDdaKjN0DH6M0jo25we/GFt6AcHkK8jKfmyy80NGPSoB4YnWJAyYlqPLxpn+Rd4diUeHzz83lFjQYJIZ41MzsJr28/5tDV3H70xp3FF96EAh5CvAzf1FCs3bta+MAqSKuBVqNhGgL/7tj/UbBDiA/oGL3pg98YIpjW53NH8YW3oYCHEC/DNzX8y3v7BO/MXA2ChNbHMdVdYnpucxtFO4T4gqlDewFwb+sMX6PhOC5gqlTr6+sRFRWFuro6REZGdvbhkABibueYTjjW252sasKW0kqbbqkJV+7M2ts5PLJlP+Q2QOX3uPKuwYgJ11uOp+xsHf6Wf8SFd0gI8TYJMhYu9nZqXL9phIcEFNbAQ01iDQTtT0RC28VH6HFn2nUI0wchMTYM0zOTENxFi+Lj1bKDHQCIDQ/Gnek9sGTbEZv9RDEuU0EI8S4xYV0wPLkbCg6fd/g3U10z/vLePr9LPlaKRnhIwGANPNSUf9Ao2CiQD7H4E5FYo0F7seHBeHFSKtra2/FY3gHZxzMzKxEbdp+i5oOE+Liro7VpWLKtXLSVBT+FXfTUKMlRZW+e7qIRHkIYOetc7K47oPyD5/DIlv2C/8bh6sJ8o26KF200aK+msRUPbd6HiQMMio7p05+MFOwQ4oOiQ3U2hQV84nFUaLDTvl3W62HZJyV3xk1gZ6KAh/g9qc7FfOAxOsWg2p1NQZkRD20WDnas922sa8a/ik/KbjT4+UGTrHWxNABiwnWoaWyVtR9CiHd4c9pgdAnSOozEfHrgLNPz7ft7dcZNYGejxoPE70l1LlZ7RWA+wGJ1qqZJ0X4umzsqpqRCNP7f7xjUQ9F+CCGd78mtP6HuUismDeqBzN7dEKTVwNzOoaqhhen51v29pG4COQB//fgQWv2sBwUFPMTvsXYuVtrh2NzOofh4NT49cBbFx6tRcqJa1ohNYmyYov3+2mLG3JwbHTqk2g9S8R1TR90Ur2g/hJDOd76+BX95bx8KyowAOkZoRizdgSXbnFdXCq2HxbJ8TU1jGzJyv7Hszx/QlBbxe6ydi5V0OBaaA4+WUfEUE6bD9MwkvFNUoWj9rKS4MBQ9Ncom6TA9MQZ7T110GPre9UuV7NcnhLgXf39y/8hkbC6tRGOL8Pp11tPv7e3Aw5ulixzE1sNivbmraWxlnt7yheRnCniI35PqXCzUiI+F2Bw466J9QMdJjG80OOc9x2ouKXHhepQcr0bxiSoAGsR11Yt2TK36lW3omxDiOXzyMQCs3VnhdFt++v2pjw4y5e4JdVQG5N/cSeU4+kryMwU8xO9JdS4G5K8IbG7nsOCjQy5XPNU2taG0ogbjUhMwL6cPlm0/xvzc6DAdHt5su/7Vim9/QXSYDjOzkpEUF2Zzp+WpNboIIdJG9onD7268BtMzkxCk1WDE0h3Mz21oviy5zaIJfTEjO1nwvCZn+RpnVV6AbyU/U8BDAsK41ASsvicNiz87DFP91ZGO+Eg9Ft/eT/Yf5Iodx1DbxD6S48yuX6pwoaEZQxJjYYgMsems7IzY/mub2rBs+1HL/8eGB2PyoO74/U3xsl6fEOI+O49VYeexKrxTVIGpQ3spmtJ2Ji5CL3oTp2RUWWgarDMqYF1BAQ8JMPZ/dPL/CM3tHP6566QqRwN0jMrwosM68n+crZlliNTjUpsZdZek7/KAjnn49btOYv2uk+iqpz95QryJqa7Z5gZFLSwjutFhOuYbN6HXk1MB6w0Lk1KVFgkI/LCr/ejG+fpmm8oHFqUVNcx5OrHhwbKOs+7KyScqzDbxuVt4MP6cnYQtszPwj/8ZxBzs2Pu1RdnzCCHuoXYjUKGqLHv8+ZAl2HH2eu6ugFUb3e4Rv6f2sCvrH290mA4vTkrFw1eWlmA5sfHHE9JFi033D0fVry0OFQ+sjcYIIYHJWU6is/Oh3NdzZwWsO9AID/F7ajceZP3jnZmVjFsHdOQO2ffKcYYDYKpvgVajsWkyJnf/hJDAotF0rK3lLCeRpQePtQduThZ9PT75Wew2kWW0yZMo4CF+T+1h14sMyzNEh+nwyKgbAHQkTBc9NQqb7h8uq0eP2PEMS45FWDD96RJCbHEcECMxjS5nekkD4LOfjDC3C48H8cnP/Lb2zwXkV8C6E501id9Tc9jV3M5hyTbpZSNempxq80fO/7ecHj1ix/NVmQlNrf7V8p2QQCcVE+gYgwapgEbOCDHL6DdfAWs/is13ePeWknSAcnhIAFCz8SDrcHBMuN7m/wvKjFjw4SHGIxYfBja3c3jm0zLm1yGE+IbZI5Ox5vuOxoNC56k2kVEWe2IBDd8J2VR3CbHhwbjY2MqcxyMVRI1LTcDoFAN1Wiaks6nZeFDJ9JhYYy5nxI5nxY5jtOI5IX5ocK8YrL4nxqFjMStnN25CnZDlYBkVEuvw7k1oSosEBLWGXeVOj8mtiNBqgFV3DRY8noIyo6xOzIQQ38FXihbO+63s7mDObtz4Gy6lQZQ3JR27SlHAs2rVKiQnJyMkJATp6enYuXOn0+03bdqEgQMHIiwsDAkJCZg5cyaqq6st/7527VqMHDkSMTExiImJQU5ODkpLS21eY/HixdBoNDY/BoNByeGTAMUnD2+ZnYHlUwdhy+wMFD01StYcs9yqBLkVESumpeHWAd0dHucDJ0KIfzLWNWPFjl+Q+fI3snvziN24sdxwheuDBB/3xqRjV8kOeN5//33MnTsXTz/9NPbv34+RI0di/PjxqKysFNy+qKgI9957L2bNmoXDhw/j3//+N/bs2YP777/fss1//vMfTJs2Dd9++y2Ki4vRq1cvjBkzBmfP2vYb6devH4xGo+Xn0CH2nAhCgKvDrkLl3qzPl1OVIKdnz1v3pOHWAR0nLHM7h+Lj1fj0wFkUH69GyfFq1VvPE0K8y7LtR5nWybIWG67Dd0/eInjjxnLD1dhixrycG5FgN/odE67DSpHRZl8lO4fntddew6xZsywBy+uvv46vvvoKq1evRm5ursP2JSUlSEpKwqOPPgoASE5OxoMPPohXXnnFss2mTZtsnrN27Vps3boV33zzDe69996rB9uli6xRnZaWFrS0XF03qb6+nvm5hIjhp8fs58SFViZmnQJbOS0N2X3iAAjPt8spZyeEBI6axjbsPXVRMH+G9YYrKS4Miyak4JlPyyw5gjWNbViy7Qi0Wg1T0MMnRftN0nJrayv27t2LBQsW2Dw+ZswY7N69W/A5WVlZePrpp5Gfn4/x48fjwoUL2Lp1KyZMmCC6n6amJrS1tSE21nbe8NixY+jevTv0ej2GDx+Ol156Cddff73o6+Tm5uL555+X8Q4JYcNalTAsOVZyvZqw4I4hZXM7h8Jyk2CCs5xydkJIYBELbFhvuE5WNeH17UcVr3gudJOWIHAD2NlkTWlVVVXBbDYjPj7e5vH4+HiYTCbB52RlZWHTpk2YMmUKgoODYTAYEB0djTfffFN0PwsWLECPHj2Qk5NjeWz48OHYuHEjvvrqK6xduxYmkwlZWVk2uUD2Fi5ciLq6OsvP6dOn5bxdQpxydXqM19Rqxt3rfsDg57/CE/8+qPraOoQQ/xZn1waDx99wORMd2gVbSitFl94BOhKqxZoPiiVF88GSnHUK3U1R0rJGY3ti5zjO4TFeeXk5Hn30UTz77LPYu3cvCgoKUFFRgTlz5ghu/8orr2DLli346KOPEBJyNTodP348/vjHP6J///7IycnBtm3bAADvvvuu6HHq9XpERkba/BDiSaUVNcyrEde3mGlxT0IC0Lh+8dIbOePCzNHldjgsqmzNWfNBqXUKAefBkqfJmtKKi4tDUFCQw2jOhQsXHEZ9eLm5ucjOzsaTTz4JABgwYADCw8MxcuRIvPjii0hIuDrc9fe//x0vvfQStm/fjgEDBjg9lvDwcPTv3x/HjlGZLvFe3rJKMCHEe/1QUS059e1M1a8tgo+z3HCx3mQJncvkrFPoDT16ZI3wBAcHIz09HYWFhTaPFxYWIisrS/A5TU1N0GptdxMU1JGzwHFXo75XX30VS5YsQUFBAYYMGSJ5LC0tLThy5IhNwESIt6GFPgkhUi42XVYc7ADi5xk1b7iE9qH2OoXuJntKa/78+XjnnXewfv16HDlyBPPmzUNlZaVlimrhwoU2lVUTJ07ERx99hNWrV+PEiRPYtWsXHn30UQwbNgzdu3f0G3nllVfwzDPPYP369UhKSoLJZILJZMKvv/5qeZ0nnngC3333HSoqKvDDDz/gzjvvRH19Pe677z5XfweEuI1U3x5CCAE6ZqWiw3SyzhV836/0xBibNhb8FBLrDVdsuPh+nTUfVHOdQk+QXZY+ZcoUVFdX44UXXoDRaERqairy8/ORmJgIADAajTY9eWbMmIGGhgasWLECjz/+OKKjozFq1CgsXbrUss2qVavQ2tqKO++802Zfzz33HBYvXgwAOHPmDKZNm4aqqipcc801yMjIQElJiWW/hHgjZ8tayOHKcwkh3o8DUNvUhj8M7o6P9p9jft7tAxPw21e/FayQGp1ikJwqiw7T4cVJqXh4837ZS++ouU6hJ2g463klP1dfX4+oqCjU1dVRAjPxKFfXskmICsHtAxPw9pXFBQkh/ukffxqIv358CC2X251ux58T1nxf4RBs8KHJyrsG46+flDkNeDQaYOW0wdBqNYpKy/kqLUA4WFJrxXQ1rt8U8BDCwHql4ZrGVsR21cMQKa+5lrmdQ8nxajzwrx/R2GqW3D42XIdFt/Wz2c/Dm37EtkPnXX07hBAvFRsezLRA8JvTBuOl/COiN1EadHRLrmlkyw166540xSuee6IPDwU8MlHAQ5RwNjqj5I+6oMyIOVfuiMRo4HhnZG7nkL6kkJoQEhLgNOgIjKoZAiNWCVEhKHpqlOJ+Yu7utKzG9ZtWSyfEifyD5zDHyUrDRgXNtcalJuCte9JgiBRO5IsVWcOmtKKGgh1CCDhA1WAHEO+1w0qtRqzuJDtpmQQGX1gXRS1i7zX/oBGPbNkv+XwOHc21RqcYmH9H1ktTfH3YhK37zlgWDaxpbMMLXziuYeOsORghhAhhnSIDvKd83F0o4CEOfGVdFDWIvVe5CcJKmmsFaTWou9SKf+4+6fBvpvpmzHlvH+bl9MFffncD9p66iO//e4H5tQkhviMqtAvqLsnvsh4brsPFxjanFVKLJqTgoc3Op9B53lI+7i40pUVs+NK6KK4Se6/GumZF1VByR2DM7RwWfHTI6TbLth/DTYu+xLS1Jfj4AHupKiHEN2gA/Dk7WfbzYq6Uk/OvYf+aQEc5+a0DErDqrjSIrP5kERuuQ3pijOzj8CUU8BALX1sXRS5zO2dpzrXrlyos/uywqr1takTau4spOVHN1F3VR3/dhBAG949MRp9rI2Q/jwMwNjUBq+9JgyHKdmTGEBViU/Sg1QJS5Uk1jW347avf+tVNrT2a0iIWvrYuCo8l38jVPjgsKqobUXy82mm+k/Wx/udnmqIiJNC9U1SBkC6nZD+vtqkNpRU1GJeagFE3xeNfxSdxqqYJibFhmJ6ZhOAuHeMZ/I0sC34kX63eOd6GAh5i4WvrogBs+Ub81JW7B0reK6nEeyWVgvlO5nYOK3b8gn/uqqBKK0KIBccBl9qcNxkUc6GhWfAc+E5RheUcJHUja3Ms6JgOk1uE4StoSotY+Nq6KCz5Rs6m6dzFWNeRcMwPDReUGZH+YiGWbT9KwQ4hRDUV/9coeQ6Ue4PKj+Rv2FXhs+kLYijgIRZSC106W0TO01jzjUpOVLt1GsuZBR8dQv7BjiaDrqyETAghQt7YcUzyHBgXrlf02ku2HcGIpTv8KqeHAp4AZZ3Ay6+uyy90CTjP+veGYU7WfKPi49Wq7lfOW69tasP8fx9Qdf+EEMJzNgDDnwOhgdMbWWf8rTqXcngCkFTey+p70hz+3eBlfXjYh2mVD8lqAMRH6vHqnQPxQ0UNAA7Dk7pBG6TBV4dN2FgsnWjYrHBunhBC1FD1awuem5iCv7y3z2E1dCn+ltNDAU+AEUvgtc/OV7qInFxKOzqz5hFlXh+HD/edhamuWXbowwEYkhSLJ7cetPTYWYHjSIgKwdShPWW+GiGEeN61ESHI7N1N8EaWhbdW5ypBAU8Akcp7sY/k3f3ldqWj87DkWESH6ZzmxkSH6ZDRu5vo3Q0fVj1wczI++8koeCL44qDjUK6prhnLth9DWHAQmhhWPSeEEE/jOy3zOZf2N7Inq5qwpbSSuWGqN1XnKkU5PAFETp8dd/NER2c+oBkn0Zxr4a0pKHpqFObl9GF6XT449LcKBkKIf3GWczksORbfPvE7RIQEMb2Wt1TnuoJGeAKIt/TZkTvSJKS0okay8unilcZcmb27MU3T5e05zfweOAAtlyk/hxCirkdu6Y3M6+MATUf+TVxXPR7/4ADO17cwT8trNcCKabbNA4VG1GPDdWholh6l7hYe7BXVua6igCeAeEufHTU6OisJ3pxN08lpzkUIIe7SJz4C2X3ibB5bfHs/WUnH7RwQEx5s+X+x3M2aRrZ2GZMGdff5hGWAprQCirf02VFjpEnt4M0f5qcJIb5P6JwlNi3vDH9OU6P5alRosPRGPoACngAip8+OUJ8etagRrEgFb0DHMCzr6r/+MD9NCPFtWg1Ez1njUhNQ9NQoLJrQl+m1+HOaGqPXeXsq/SJnkQKeACOVwDsuNQEFZUaMWLoD09aW4LG8A5i2tkTVjptqjDQ5C9541Y2tDqv/igVyLAEUIYS4UzsH7D110fL/9ucrAJiRnYzoMJ3T19FqgIuNrQDUGb32VDGLu1EOT4Axt3OICg3G/479DWoaWxHbVQ9D5NUEXtY+Pa7ggxVnpeIsHZ3FmiRaM1odNwCnZfBKm3MRQoha+ABFrG3H7QMTJAs22jng4c37sFqbptrotT9M+2s4jguYc3t9fT2ioqJQV1eHyMjIzj4cj5Pqe2Nu5zBi6Q7R4IHv61D01ChVEthc6cNj7YsDZ/FI3gGn28SE6XBR4CTBvwvr0S0lzbkIIUQNm2YNR0NLm+CNpxz8+fq7J2/Bb1/9VlHzVWtbZmd0auNBNa7fFPAECLGRG+sLflRoMKatLZF8LTW/+Eo7LVs/f+jfCpmrDYTYB3Lmdg4bdlVgybYjil+TEEKUWDj+Jvxz10nmhoBStszOQN2lVvzlvX0AHEfUWQKABBVvdJVS4/pNOTwBgHVlcVPdJabXU3Noky8VnzSoBzJ7d5P9B1VaUeNSsAM4NlwM0moQF6FshWFCCHFF7pc/qxbsAB3na7HczWsjgqFhOOU+Pb6vX5SlUw5PAGDte1NzJclNijdVNKkZfFmXcVY1tKj2uoQQ0ln487VQ89Wys3X4W770SPZ5P8jfASjgCQisQUFsVz0SokJE53rt12bxBmoGX4Xl56HvoqUcHkKIX7CvdrVvvvolY+XtqZom1Y+tM1DAEwBYgwJDZIgq1VOexJeTqxGgfHHQKLhYKCGE+CL787V9zmTPmDCm10mMZdvO21HAEwD4oIBl5CZIqxEs9TYoqJ7yBOsSd09l34cHB6GRVkknhHSS4C5atEqs5Td7ZLLkWlrxV3J4nJUuaTXA9MwkVw/ZK1DAEwDk9r1hWWjTm/AJeX/9+JDLCcws9F20FPAQQjrNX357PZZ/84vTbb44aMSCK8nGYlW6FxpaJW8UZ49MRnAX/6hv8o93QSSxdFi25mr1lKeNS03Aotv6eWRfNU1tiA3XUVdmQojHGSL16Kp33mkZuFp5KlWlqwEQFhwE+1O8VgM8eHMyFt6aosZhewUa4fFyrvapseZrIzdyGSI9Vz12x6AeWL/rJHVlJoR4BH+uab7czlRZBXQUrLBU6Ta1mvGvmcNw9EIDTtU0ITE2DNMzk/xmZIdHAY8XU6sTsTX7LH1/IpWrpKacFAOGJsfirx+XMZfzE0KIUlFhOtQ2tUkuK2Ht2ogQ5irdmkutmJGdbLkh3nvqol/dEAM0peW1+DlX+8icX9NKrYU8/YnUavAaAKNTrnV5PzFhOgxLjsW41ATcNsDg8usRQoiarBdgZq3SPVnV5NZFo70BBTxeiLUzMr/SN7lKKldp7b1DsequNHTVBynex8WmNhSWm1BQZsTG4kpXD5kQQiTJGdnhcLUQhR/5Fhun0QCIDtPh9e1H/f4GW1HAs2rVKiQnJyMkJATp6enYuXOn0+03bdqEgQMHIiwsDAkJCZg5cyaqq6tttvnwww+RkpICvV6PlJQUfPzxxy7v11exdkbml0IgtsalJqDoqVHYMjsDy6cOwpbZGSh6apRlGvDWAQl4+54hil9fA2DxZ4fx3KeHVTpiQkig4QMNd5Ma+eZvmwPhBlt2wPP+++9j7ty5ePrpp7F//36MHDkS48ePR2Wl8J1uUVER7r33XsyaNQuHDx/Gv//9b+zZswf333+/ZZvi4mJMmTIF06dPx08//YTp06fjf/7nf/DDDz8o3q8vY51zVXNZBX8jVGVmbudQfLwanx44C0D5yYYDYKpvwXlafoKQgKIBHKqZlJqbcyNe/kN/t1R7amAbpDgb+Z6X08fp6JE/3WDLXi19+PDhSEtLw+rVqy2P9e3bF5MnT0Zubq7D9n//+9+xevVqHD9+3PLYm2++iVdeeQWnT58GAEyZMgX19fX48ssvLduMGzcOMTEx2LJli6L9AkBLSwtaWq5elOrr69GzZ0+vXy29+Hi1x1ct93dCCeDeTN9FixCdFnWXLnf2oRBCrPz+pmvwzc//5/LrLJ86CJMG9UBBmdFtxQ+b7h+O7BviLP8vVPX7xcFzeCzvAPPxdhaPr5be2tqKvXv3YsyYMTaPjxkzBrt37xZ8TlZWFs6cOYP8/HxwHIfz589j69atmDBhgmWb4uJih9ccO3as5TWV7BcAcnNzERUVZfnp2bOnnLfbaVjmXO3XSCHixBLAvdmom65F7h0DEBFChZSEeBM1gh3AdlHPkoW/R0yY+n/rD2+yzb8RGvlmTWr2pkWjlZIV8FRVVcFsNiM+Pt7m8fj4eJhMJsHnZGVlYdOmTZgyZQqCg4NhMBgQHR2NN99807KNyWRy+ppK9gsACxcuRF1dneWHH1HydlJzroD3rWnlrZwlgCulQUfzr/gIvYqvaissWIuHNu9DQzON8BDiT4RuWIO7aDEjK5np+bHh7FPxtZfaJJOOA+kGW1HSskZj+6vhOM7hMV55eTkeffRRPPvss9i7dy8KCgpQUVGBOXPmyH5NOfsFAL1ej8jISJsfXyG3MzIRJpUALkUs4Fx8ez9MHtxd8etK+XDfObe9NiGk81hXUFlLigtnev6i2/ph06zhiA5lD3ycJR0H0g22rDG0uLg4BAUFOYyqXLhwwWH0hZebm4vs7Gw8+eSTAIABAwYgPDwcI0eOxIsvvoiEhAQYDAanr6lkv/7A3zsje4Irid3zcvogb89pwUVUAWDN9xUuHx8hJLCIFUuwThkZIkOQ2bsbXv5jf6ZFk62TjsVyPvkbbF9ZNFopWQFPcHAw0tPTUVhYiDvuuMPyeGFhISZNmiT4nKamJnTpYruboKCOHih8vnRmZiYKCwsxb948yzZff/01srKyFO/XX/hzZ2R3M7dzqFJQScWvHv/IqD54ZFQfh4ATAEYs3UFLShBCZKtr6phmsh+pl+oUz5+X+HMQH6Qs+PAQai9J9+iRuvkLhBts2VlS8+fPx/Tp0zFkyBBkZmZizZo1qKystExRLVy4EGfPnsXGjRsBABMnTsTs2bOxevVqjB07FkajEXPnzsWwYcPQvXvHlMBjjz2Gm2++GUuXLsWkSZPw6aefYvv27SgqKmLeL5Gm5rpc3s7VqizrIVz7gLP4eLVPJUATQrwHv2Dn85+XY3SKwXKe4aeW/vLePoc1+sSmlsalJiBCr8Pd636AFJYRJH+/wZYd8EyZMgXV1dV44YUXYDQakZqaivz8fCQmJgIAjEajTW+cGTNmoKGhAStWrMDjjz+O6OhojBo1CkuXLrVsk5WVhby8PDzzzDNYtGgRevfujffffx/Dhw9n3i9xzh3rcnkrvipLyQiMVgOsmOY8R4r6HxFCXCE2zaRkaimjdzdZI0OBTHYfHl+mRh2/LxILAPj7BH9Kgm693I6M3G9c6mnhrL+RuZ3D+qIT+Fv+z4pfnxBCAPHeNnJH4/MPnsNDm/c7PO5P53g1rt/U5MPLuToNJbUul9DQqq/qaOB1CDWN7GvOCBEawTG3c1ix4xj+uesk03w5IYRIEZtmkjO1VFBmxJJtRwT/zd+Sjl1FAY8XU2MaSs66XL48d+vKNJY9+5NQQZkRCz46JGvxPkIIEaPWNJPUeW/RBOfXikDK6wQo4PFaYl9kfvVa1iHKQFiXS63mgkInITUDKUII4bna20bqvKcBsGRbOcamCo/eB1JeJ09R40HiXlLTUAD76rWB0Dbc1eaCgHAVROvldvz14zIKdgghqklQqXmsnNF7e2LL7fA31M46M/syCni8kCtfZHud3TbceoXy4uPVTEGaXHJGpzQAHrw5GQkSHawLyowY/tJ2tyzoRwgJPKNuugZbZmeg6KlRqoygKB29V/OG2tfQlJYXUnMairW3A9DRX0bNuVxPDZmyjk511XfB3/80AONSE/C/4/qKzl0XlBkx5719qh0fISRwxYbr8OKkVNw6QN2laOSM3lvn6lQ1tAREXqcQCni8kNrTUFK9HYCOzsFqBiZq5SCxGJYcC0OkHqZ6512VI0K6YHSKAcDVKgj+RPDFwXO4NiIE6YkxWPDRIVWOixASmManGjAu1eDWRGDWzswXG1sczu8sfDmvUwwFPF5IbotxFmJtwwvLTaoHJp4uhQ/SajBtWC8s237M6Xb2dy1CI1Cx4cFUjUUIcUlpRQ1W3JXm1oonltH72wcm4OHN+xXlIcZ11bt+kF6Gcni8kLtWr+VHNSYN6mG56LtjLpc1B2nDrgrV5olZVxrm71rEkvYoZ4cQ4qrqxlamHEtX8aP3BoGcxJV3peGzn4yKiy4e/+CA3yUvU8DjpZx9kdWaDlIzOdoa61Dokm1HMGLpDlX+qOTOZ7taxu7HrSoIISrw1JTQuNQEFD01CltmZ2D51EGWxOiY8GCXqlfP17f4XcUWTWl5MXevXuuuHj1yStzVyumRMw2oRhn7Azcnw9wOrN1Z4dLrEEL8kydbfQh1ZnY14PK3TvwAjfB4PftpKDW/dHKTo1lLzKVK4a2pVQbpbBqQ38/UoT0BqHPnlZkUhw/3nXH5dQgh/sXdrT5YqRFwKR3l91YU8AQwOT16CsqMGLF0B6atLcFjeQcwbW2J6HQUH3ywhi9q/VGJTQPylm0/hhFLd+BkVaNL+wkLDsK8rT+5vGZXZ5o90rEXESGBIDpMh8d+fwNiwnSqv7YrOZZqYzm/R4ey/Q78pWKLAp4AxpoczVdyyenKOTrFgGiZJxQ1/qj4+ex5OTcK/ruprhnLth9DdJiOaQRKSFOr2ePJzeNT41U7QQ/uGYWnJ6RY5v2XTRmE2HD1T/6EeKPapjZkXB+HZyf2k/U8++AgOkzncI5jybH0RDNWgO38PjM7iem1fLkTvzXK4QlwYj16YsJ1uGNQD0SE6PD4Bwdkl5iXVtTILu9W848qb0+l4OP8MfOEyjk5AGk9o/Df8w1obG23/Ft8RDBazJxHy9b53KMVd6UDAFbsOCZZfi8l+4ZrANjO++uDtHhoMzVbJIHhQkMzDJHyzjcr706DVqOxyacEICvH0tPrV0n1YBudYkDentOqtkDxZhTwEJvk6MJyEz45cA41ja1Yt+sk1u066fS5Yl055S73oOYfFUv1WW1TG+bl3Ii8PZWC2+47XWf577DgIDx4c28MSYrB3e/8oMoxysEPj5vbOeTtOe3y6w23+z0XlBmxZFu5y69LiK/ggxNnhQ7WEqJCkHG9cA4lazdiTzZjtSZV/MLSib+zp+fUQlNaBEDH3X7dpVb8c9dJRdM19gGO3NEaNf+oWIOt+kutlmmdWVeGdoVOfE2tZizbfhQ7jpxX5fjkuH9kEkanGFB8vBrLCo+6XF0GAE9uPYj8g0YUH6/Gks8PY47AdCUh/ojPS0xPjEFpRQ3Gpxokgx0N3LuyuSfWr3JW/OKJFijegkZ4CADnf5As7AMc1rsnQ6Qei2/v1ylra63bdRJDk2MxOsWAOe/9KLm9GqMrcr2z8yS2lJ7Bry2XVXtNU30zTV8RrxMdpsP0jES8ueMXt+2DA5CeGIObX9lhsxSNVgMIxRpqTTeVnKj26vWr3N0CxVtQwEMASE8DiRGbjnLW9pw3L+dGPDLqBtX/qOQMVT//eTnCdV1Qd0k6oGhsNatzgDJwgKrBDiHe6uU/9Me41AT8bKpHYfkFt+3ni4OORRZ8sDMzKxHXxYQhNjwYhqhQ1RZRXvAh2/p8nVkNJdTLx9/QlBYBoOwPTWqOV2yoNCEqBG/dk4bHcvq45Q5CTlm8sa4ZW/d5fuSGEHLV3N/3wbjUBBSUGbHdjcGOMxoABYfPY0Z2Mu5Iu06Vvmd83k7tJbZCB3+phvJWNMJDACj7QzMwDPd21lDpuNQE/Dk7Ceslkq4B4EztJbceC/EdOq0GbW7KoyDiNuw+iRvju2LJtiMuLfniCn5aqeREtUM1lpLzlZw0AX+rhvJWFPAQAGzTQDFhOqyYloaqxhZZJwI1h0rN7Rxz8DQ6xcAU8By0qshSiwZAVGgXtLVzaGzx/FQYUYaCnc5Re6kND23e39mHAQB4eJPtiIzSPB65aQL+VA3lrSjgIQA6gpJFE1KcJrNebGpDQ0sbJg3q4cEju0puDwvWXB61L3J8zlItQ16QLzBE6jF1aC9s2H2SeWieEF9l/x1XWjbOmiYQHaaz5C8R96KAx8vJGdFwRUGZES984bwXi9yF5NQ89oIyI+a85xiMOTsZOUucFkukVkNkSBeYOd9ONo690ngyJ8Vg+dxujO/qNXfhhDij5t83/zoLPjqECL0OGVdGq6XObaxpAiunpSG7T5xKR0ucoYDHi3mqK6dYQyx7ckon1Tx2czuHBR8JVzlIregr1mk0NjwY1W5aHqKu2XcDHQB45JYbMG90x9IcpRU1+OLgOVwbEYKosOBOPjJCHIUHaxEREgxTvW0n4UUT+uLpT8pwUaXO6LVNbbh73Q+W5SSsO64LndukRpj5vJ0MP6+M8iYU8HgpT3XlVNJ/R2qoVu1jX7HjF6fLOUgFYkKJ06a6S5j3wU/MxxBIsm+IQ2G5ySFIZF1okBBP4G9t/vE/gwQLIwrLTWi53O70NXhhwUFoYmw7IXQuEjq3SY0wA/Lydjw12u/PKODxQlJdOeVOLTmjpP+Os6FatY/d3M7hn7sqmI7LOhATOjlYB0PFx6uZXhPoGA3y9GKhnSVCH4SCMiPeLT7l8G+Uv+OfxqcacG9mEi42tuCFL8ptGvJ5M/sqUeu/b9ZRa968nD74W/7Pio9F7NwmtZYV642fp9fg8lcU8HghlrWg1OrKKbf/TrfwYKelk2ofe2lFDfOFNq6rHgDbyWFYciyiQqUbDiZEheC7J2/B3lMXsb3cJLm2mK9raDELBjukc/32xjgcOluHmkb1g87iE9VYcVcagrQa5KQYkLakUHb+mTtz4oRMz+iFtF4xiAoNhrmds7l5UlIOfl9WMtbvOsnUrFSM2LnN1dYcnbUGlz+igMcLsQYhanTllNt/Z9Kg7k7/UNU+dlnvkWM/ORSWm5i6Kz83MQXBXbTI7N0Nmb27YWhyrEMwRTx/wQs0c357A4Ylx6K0ogam+mY8+2kZGlTKFattakPJ8WpotRrs+qVKUbI9P2IBwO1/H1oN8K+SSvyrpBKA482MknLw4C5ayc7wrITOWUpbc3hytD8QUMDjhViDEDW6cvKJdawniNEpBlWOiXW7k1WNTNsBHSeaV776r+TJYdRN8Xj+c4mKNE1H9YT9nRN/t7as8L9Y8e1x5mPzd9FhOvxtcn8s2Vbu0l0ysWXdkM76onnoTC1TjylWD29m7wZs7ZFbeiP7hmtsRiysRzO+PmzCtkMm1Y4TcFzzyv5mhrkcPFSHl/94tRxcbPpJLjW7JXtytD8Q0NISXogPQsTidX7FXzW6cvL9d1gYIvWS+5Q6dqCjgSHLsZvbOWwprWQ6NgCoaWxlOjn8q/ik5AmN44CYcOGqpCCtBtk3XMN8XIHgYlMbtFpY7vLpXlM9QomtUjcecinNz+LQcaNRWlFjWenbemXuezKSVDtGsQEM+9XGmcvB7xa+oSl6ahQ23T9cdpK+mudlnidH+wMBBTxeiM/uBxwvHEqy+6WIXdjtTRvWS3KfLOtYXWxqQ2G59F1fx/A9WwJlQlQIYq/k8Eg5VdPEtJ2zkwgf2Mnlz4HAUx8eRIReh5V3DXZYP43IZ4jUi+ZnpCfGICIkiOl1QnTuO82v/PY4Hss7gGlrSzBi6Q4UlNkuzKnGhTg6VIc703oIrmbOsx7pYL1hzLheeESk44YmDi//sT80YPubdcd5GfDsaH8goIDHS4ktvGmIClE9SY31pJQUF860XTtD52L+bkyN4wI6TjSGSLY/+sTYMKbtnJ1E+MBO7qmts6d63Blw1V26jLvX/YAl245g0YQUbJmdgXszE924R/81L+dG7Frwe8G/84IyI3776rdoaGYro75rWC+PBNr81JJ10KPGhbjuUhu27jvLtO2FhmanN4xAx9/gognSgYnYOTg6TGfpxcNzx3kZ8OxofyCgHB4v5qmFN9nzaaRHRsztHJ75tExyO5Z5Z9bjmpfTsdKyuZ1javQ1PTMJ7xRVSG4ndRJRa87fU/6Y1gO7j1e7/VhNdc14eHNHTsX41ARspKovZlKlxnLLrQHg9zfFY5gHku2FkmhZl3eRel1W/DlD6m9zybZyaLWQDFDEzsGAdKdlNajdyyfQ0QiPl7OeD8/s3U3WF9vczqH4eDU+PXAWxcerRUdUhiXHwhApPR2Ut6dSclSmtKKGuXTWujOq2HGx5AM9MqoPAPapQL4iQ2o7lt+1Zc5/1nDM+W0ysnt3w+iUa/HX8Tfh3RlDvapZX2SoDkVPjcKW2RkYdRN7DpK+i7zThHVORXpijORnSIB7Mnphy+wMFD01SvQirKRJKABAc/V7Oi+nj8vH6oz11BJg+zfpTkIjHeNSE7BoQl/B7YVGo8QInYNdOS/L5cnRfn+nKOBZtWoVkpOTERISgvT0dOzcuVN02xkzZkCj0Tj89OvXz7LN7373O8FtJkyYYNlm8eLFDv9uMKibuKcEa1DhaQVlRoxYugPT1pY4nWMHOv6gpw3rJfma1icyMXKmoZZ8cdjpCUdJPtC41AQ8cHMyNHbnH40GeODmZIeKDDVOIoXlJjy8ZR/e+q4Cu45Xo7D8Al768mc8vGW/R5r1Dboukmm7f/94BkBHIHnE2CC5vSFSj3k5fZi71VrjL3x7T130yAXP1yV3C5e8cCppEgoAFxqu5sHl7Tmt6Pjk7/PqcY5LTcDKuwaLJh3LxXqTYm7nsGTbEcHXsE909nZ8wLpldgaWTx0kGRwTYbKntN5//33MnTsXq1atQnZ2Nt5++22MHz8e5eXl6NXL8aK5fPlyvPzyy5b/v3z5MgYOHIg//elPlsc++ugjtLZe7WRbXV3tsA0A9OvXD9u3b7f8f1AQW9Keu3hr90sljapY83OkAho5c/Y1jW2SjbNGpxgQHaYTXVrCfgi9oMyINd9XOLz3dg5Y830FBveKsQl6XJ0yFFvUFPDc4qEHztQzbfdry2Ws2HEMw5K7MV04pw7txfy9EHOhoRmTBvXA6nvSsPizwz7TxdfTWBLulSYAV10JeJQGTErYnwdiwvVOk45Zzcvpg7w9p5m6FvtbSbfSXj7kKtkBz2uvvYZZs2bh/vvvBwC8/vrr+Oqrr7B69Wrk5uY6bB8VFYWoqCjL/3/yySe4ePEiZs6caXksNtY2VyIvLw9hYWEOAU+XLl1kjeq0tLSgpeXqCba+nu3CwMJbu18qbVSlVjWA3L4+EDkeXmlFDfM6WnyegrPzqv2+XDmJmNs5LP7ssKLndpZ/7jqJXoxJ269/cwzzcm50aX/WORURITrc/c4PLr2ev2JJuFeaAHyxqeMc6InSZbH8N1f3zb/uI6P64JFRfZhuUqikm9iTNaXV2tqKvXv3YsyYMTaPjxkzBrt372Z6jXXr1iEnJweJieLVG+vWrcPUqVMRHm57d3ns2DF0794dycnJmDp1Kk6cOOF0X7m5uZaAKyoqCj179mQ6RilSQQXQeUOlcu5qrKlVDSC3eknseHimuktMr8P3AlHy3pWSUzbvLWovtclaFyxvTyVTfpc9oe/LjiPnZb9OIGCtshmWHOtQHcRCq+k4zbu7dNlZ/pucfUtNWbHmz7Du89j5X70qHYG4j6yAp6qqCmazGfHx8TaPx8fHw2SS7qtiNBrx5ZdfWkaHhJSWlqKsrMxhm+HDh2Pjxo346quvsHbtWphMJmRlZaG6WnwRyIULF6Kurs7yc/q0OvPXnr6wyqH0rkbN3j98foycPjVCx11QZhSdg7d3sqpJ8XtXmoel1p0h/xvtqvdM0WRsVz3zZ2Osa8bQpBjZ++Bg+30pKDP69DpkGgAP3pysatIv3+PF3VU2/AgmSxFAbLgOM7OTLMcnh7P8N9YbqlV3pSHeLsCOd9KPyBmW9wsAK779xWmOI/Efis6wGruMUI7jHB4TsmHDBkRHR2Py5Mmi26xbtw6pqakYNmyYzePjx4+3/Hf//v2RmZmJ3r17491338X8+fMFX0uv10Ovl393KsWbh0pdmZpSa2Vf/rVGpxiwYVcFU9Bifzxyy2+XbT/KPP1ivS+xPKxFE/oiJlzvdNhczl1rV30Qfm0R7psSdSVHyVM5P4bIjs9TLPfI3s5j7CvL88KDgyzdgPkRUV/GoSMHTE51mxS5f1dS07tCNBpgaFLH6BFLifNLd3QstTBcoIxdq7Fd1iEmrAvuy0xC8jVdJfPfWMurbR+x30IeZ/sU0tnpCMT9ZI3wxMXFISgoyGE058KFCw6jPvY4jsP69esxffp0BAcLd/ZtampCXl6e0xEgXnh4OPr3749jx46xvwGVeHP3S1enptSsBgjSajAjO1n28Sgtv+WnX1j3xQdV9qN1xrpmPLR5v2SFG2s5PwCbYCc2PBhzf98Hy6cOwqZZwxHSxXPJ9/z7H5eawDxaoaTSrLHVjBU7Ov425SbLin1+s0YkyT4ONXEAvvn5/1R5rUUT+sr+u1JyA8VxwN5TFy3/z1qdaH0emHVlxMd+4LO26TKWf/ML9FcW11XayI/fNwD85b19Du0qztezl5Cz7lNIZ6cjEPeTFfAEBwcjPT0dhYWFNo8XFhYiKyvL6XO/++47/PLLL5g1a5boNh988AFaWlpwzz33SB5LS0sLjhw5goQEz0fi3tz9Uo2pKTV7TCg5HqXVJMa6Zkt5vdS+5AZVQn07grQaLL69n5NnCbvY2Irl3xyDvosWWq1Gsh+Rmqx/14+M6uM0WVYDKMoZ4b39/QmY2znmC/Wfs5PwlpOLU/4hEx68OVnRkh7egj83zMhOlv13pfQGyv73z3pTwzcO/HC/cJdjJQGC2L5Hpxjclhdpvc9HbuntdNvOTEcg7ie7D8/8+fPxzjvvYP369Thy5AjmzZuHyspKzJkzB0BH3sy9997r8Lx169Zh+PDhSE1NFX3tdevWYfLkyejWzbFq5oknnsB3332HiooK/PDDD7jzzjtRX1+P++67T+5bcJmn17qSy9saVck9HlemApPiwpn2JTeoEjvpjktNwFv3pMkKDLgrP89/Xu7RYGdezo02v+uOgC1FcL0g/v9nZiUr3l9Tqxklx6uZL9SjUwxXmsUJ9+0x1TVjzfcVlmUrlk8dhHk5fRxG2fjPwtuaHbp6bmDNSbEn9PtnvalZseMYc5UkK6F9uzsvkt9nn/gIpu2pcss/yc7hmTJlCqqrq/HCCy/AaDQiNTUV+fn5lqoro9GIykrbFa7r6urw4YcfYvny5aKve/ToURQVFeHrr78W/PczZ85g2rRpqKqqwjXXXIOMjAyUlJQ4rfZyJzXzXdzBU8tSuON4XJkKvDYiBJm9u0nuS9H0AIT7dvDvbX3RCfwt/2fm1zPWNWPXMXWmSKQYIvV4ZNQNDo9LfY9HpxiQt6dS8dIAxSeqMG/0b5haFVxsbL3SLE4434dvq7BkWzmKnhplM1Jl/1kXlpuw+DPPBpQ8Pl/Evn+Uq+cGuTkprEukiDG3c/gnY6K5qwGCp/IivTkdgbifoqTlhx56CA899JDgv23YsMHhsaioKDQ1OV+H6cYbbwTHif8J5+XlyTpGT/C2oMKetzWqYj0epevvWE8jSu3LlROa0Ek3SKvBtYyLl1rbuu8sosN0qGtqc2lh0VCdFpfaHDsi89/Exbf3s3wvze2czXd2dIrB6fdYzkXWUUcZ8aIJffHQ5v1Ot1yyrRxRYTrZzeKEPutxqQmI0Otw9zr2vj8xoTpcVKEztnWwqPa5gXX9NjVGmksrapjzt8T+nuy/a67e5LgaiEidW1wNEol3o8VDXeRtQYU3YT3Z2ZN7J8tjWQGZ58qihmInXVdPxsoCig5CwQ7gOKqgpDu4K4uk8n8bMeHSyd3GumYUH2erCGO5069qlNkjSQMM7hmF/afr5D3viuhQHVbenYaM669OEbnj3GB/o3WyqglbSittRrPUGGlmHU2JDtMJBghyvmueCkRoMc7ARgEPcQtXl91QcpGNkpFHozSoihE5uQPKg6japjbMy7kReXsqVW/9v2iCbbCjtDu4/UU2LlyPh7fsc5rfEROmQ8b1HRd86/XOnGP7zbEEl3ID0ItNbbjY1BHs2JdgJ0SF4PaBCVjzfYXDUfKXxpf/2B/ZN8TJ2qdS9jdaj4y6QfXRJNbf38wsxwRsud81TwYi3p6OQNyHVksnqhMr95azQjFwtbrijkHdmbZnHR2wfn3WklWe/WKl1lxZGTopLsxSSXJvpjp5aXy+i7mdU6U7uHWyaXafOLz8h/5O95/7h/6WirhPDpxjOubhyd1Uq4BUmuQLXA12ZmUnWSqJFt6a4rZiAFcXIXbH6t0sv7/oMJ1DbpiS75q5nUNUaDBmZichJty2bYk7ii1oMc7ARCM8RFVK1/ISE6TVoEdMKOPelZWs2oxcdNXj4U17UXtJuAmg/fEL5cM8cHMy3r4yEsDq2ogQm7v2jcWnZL8Xe/aVLZ21kGJpRQ3zchYlJ6oxdWhPLNt+zOU7fT4AZW2waE8DIL/MhL9aTZWqnbdnbuewYscv+OeuCpt8GW9YhJhlFPTlK0GtNbmLdgqNBseG63DHoB7ISTG4LS+S0hECDwU8RFXuWKE48/o4rPj2ONN2Slif+IqPV4sGO4Dt8dddanUcFo/Uo/mycD6NGPsRCyULsDojp7Jl1y//x3SBMbdzWPDRIafbLPjoEEanGGTtf+V/Oj7nrvouaOc4NLVebdgYrg/CyD7XICJEB3M75/Y8C7HvqpwLpbM8toIyIxZ8dEhwWtBbuv6KTf84C8jkVFyJTX1dbGzD+l0nMdSLikCI76OAh6jKHeWlGb27OZT42osO0yFDhbs11uMqLDfhn7tOOuYoKFhMNCUhwrLaO784In9nrUa/Vzm5LCu+PY4P952VHF0oOV4tucxBbVMbSo5XI66r/OVdhJbZ+LXFjC/LTPiyzIToMB1e/kN/p8eo1pIWSkuhneWxAXA68qRkNNRd5I5qsX7f4rrq8cS/f1JtNJgQKZTDQ1R1sqqRaTtnJ0X7fAYAkvkiQkPrSrCerD85cE6VYAToWK5g2toSZL/8jSW/ib+zdqXTsXW+i5x8FpZcq+ITVUzHsOmHk3j8gwNM28pR29SGORLHqLRjtz3r7wRrro1UHpvU6BjgXV1/5eQIsXaiB8c+zUqIGijgIaopKDNi2Xa2tc0uipQMF5QZMWLpDod1rAB0LDtg11XXEKnHWyoO+7OcrGPDdcw5KXKY6ltsLuLjUhOw95nRmDjAIPu17PNdnHUHt8eWxMwWXOaXnVc06sXK2TG62qROaO01oe+mfdAllcfGAbIWAfW1rr+snehZ2wb42vsn3osCHqIKudMHS7YdcbhQSd0VA8CuBb+3qazYteD3quY4sFRa3TGoh2r7E7Lgo0OW301huQmfH2Qt6b4qKkyHuTk3WlYsB+QvpOjs7tpbkj2dHaMrfZHsA0Y5lYdqjSzxlEwJuoOcSjKW5WSo6zHxNMrhIaqQe5K3TwaVU93l7ovtuNQEPHBzMtburLDpxaLVALNHJuN3v4nHOsaW+0rwuS8Zvbth8WeHZT2Xr6apbWrDsu1Hkben0iYfh8/HWFZ4FCu+/UXy9cTurjOul86r8hSxY2TpixQREoQ/DO6Bzw8aUdMovAyE3MpD1Uck3LRwt5zGoEobVjrL/aGux8TTKOAhqlBykrd+jjuqu5QqKDNizfcVDidhjgPWfF+BgddFq1pFJaT4RNWVldTlTQexNHoL0mqQfUMcU8AjdncdpNXg5T/0V1zyrSZnxyjVzO7VOwdiXGoCnp2YKnphlvvdVHtEQmjqR2kXc56cAMaVhpXOKtqo6zHxNJrSIqpQcpK3fo6nFg+UwtI0bcm2I7htgLtLhdUZKRDLx2FNLHV2d82vFG9QsIaYWliOkaVZoLOkXLnfTZbfbYyMZHT7vy3WXCIxcqbn1GhY6Qzr50OIGmiEh6hCzrIKQkPVnpzPd3Z3zHo3/+G+sy4fhzOZvbtBq1HnzlZswU017q7tpy2OnW9g6pmkFpb101xtFij3u8nyu/3b5P747/kGvPHNMdG/F6G/E7HRFiNj3x6503OeGHn19kWYif+ggIeognVtKrGLqafm86WG8lnv5t1RpcWzXoMqJqwLLjaJN0KUw/69qbWmkH3jRk8GPC98UQ6tFpLH6kpXXSXfTWe/29sHJmDJNvmrnTsLVoCOvzmpvjVyAxhPjbxS12PiCRTwENWwLPgpdjH1xHw+Sy6CN1SE5Fr1FPrD4OtUS5AWem9q3127sgq9Eqb6Zsx5b5+qrQnsKf1uCv1uLza24OHN+yV/N0J/JyyFAVKjLXIDGKqkIv6EAh4f4WqSoqcIraoNDVD1a4vkcbtzFWPWofzvnrxF8m5er9OiuU3e8hEshLoHR4YGO3kGG6nRMTXvrllG+maNSMbH+8/ajJJ1Cw9GtQujZguvLGPhrr8Jpd9N69+tuZ3DiKU7nAY70aE6rLw7DRnXOzb3M9VdYjpWZ9vJDWCokor4Ewp4fICSktDO5MoF1F3z+axD+XtPXRRdcJK/gLMeyeSBCfjkJ+lE0q76Lpg98no8MuoGm/dpbuewpbSScW/COqPaRSw46BYejCWTUnHrgAT89da+Np9xdUMLHsnbr3ifF5vaUHKiGtk3KFtPjYWr302WEZraS23QajSCr8k6jepsO7kBDFVSEX9CVVpeTk5Fhb+Q08aeldyhfKElHaLCdJiX0weXGEd3rosNY9puyaR+eCynj+Cq06Z6ebkR9r+qqFAd5ub0sWlA6AnjUhOwaEJfxIZf/T1WN7ZiybZyFJQZbT7jYcmx+NuXR1zeJ78MiTu58t10NR8mlrEBobPtWLsgW78vqqQi/oJGeLyY3IoKIo51KP9kVSNe3y5cOVPX1Ib6S2yN9qLDdMyrvBuiQgUfZ71ADrwuCiP7xCHz+jgMTY7F6v8cxz93VaD2UhtqL7Vh2fZjyNtzWpURQdap1YIyo2CuilDvFvU6E3sia0g5V/NhWMv/r41wHhgpmZ6jSiriDyjg8WLe1IzP17EO5W8prXR62fz4AFs5+sysZGT07uZS/gPrBfKnM3X46UwdPtx3FrcPTBBsmsjSJE4K69RqZ3UmzrzefdNZanA1H4Z/vlRw+PgHB7D49n5OP2clAQxVUhFfR1NaXsxbmvH5A5ah/KlDezntbMwBqGlsQ1e98/uE6DCdJR9H7vSBtWHJsYgNZ09aNtU1422BYIc/dkB5kzg115KyX6dLjQqf6DAdMrz4YsyPjN2aahANdgDn3wf++6SB8zwyU30L03S3O6aOCfFmFPB4MU8342NdGNBXSeUiJMWx5dz82uK8L87LVmXlruQ/BGk1mDyoO9MxAdITOlILgoqR221XSWdiQ6RrC2Ra/869jXVnZL7FgP2hsubD8N+neInpLb4njz/+HROiFE1peTFvacbnbVwp0Xc2lK9G0mt0mM4hQdiV/IfRKQasV3mhUrkjgu5aS8q6M/G0Yb2wbPsxyefEhOlw0WrBUkOkXnL6pjOJ9X7irjzw5+wkjE4xyP4OR+h1uHvdD063C4Tpbl9p10G8AwU8XsxbmvF508VEjeBMLBdBjaZ5tU1tghcZpfkPrHkbcsgdEVS6lpSzQD02PBimuksoPl6NYcmxSIoLZ9rHsxP7wRAZInqB86YLIEsu05dlJjzNsDyGPdbPhLV3jy/ytRs10vloSsvLubMk1N0LA6rN3SX6LDk3LNTMqWLN22DBsiCoEKVrSfH7tMeho0R93gc/WRa+PFnVyLQPQ2SITTl7aUWNZRo2/+A5lxbVVJvcXCY51OjJ48sCsV0HcR2N8PiAzm7G5w3D4p4q0XdWsjt1aE+maRe12+yzLNkhxZURQTXXkhJiqmvGsu3HEB2mQ11TG9M+hO7uxV67s0Yq3Vl0oEZPHl9F7TqIUhTw+Ah3lIT6UhWYJ4MzsQATAPL2nJa88KcnxqD4eLWqwan1MW0vNwmur8Xv4YGbk/HZT0bVludQYy0pU30zlnxxGDWNjn2M7LtXS+1DbBpWSGdeAN1ZdMDak4d1O1/iSzdqxLtQwBPAfGlhQE8HZ2IBprN1ojgA6YkxuPmVHTbl7WrlFfDHlNm7G4YmxzptHPe/4/qqOiLo6lpSxcerBYMdHoeO/Kd5OTcib0+l6D6kVgwXe+3OuAC6s+iAJbdLyfSlL/ClGzXiXSjgCWC+tDCgtwRnUlM1Xxx0zB1gmVaRm2wrNc0ZpNVYclwuNHRc7NUIepROrbJefJLiwlD01CjRfbjSldnTF0B3Fh1Yv7bY366/rnHlLecC4nso4AlgvrQwoDcFZ/yFf8WOY0w5PVLTKkqrTZxNc7qrgkXp1Kqci5SzfbgStJysalL8XKWUjoyxvvYDNydj7c4KWNcVaDXA7JHJflup5E3nAuJbqEorwPnKwoCudi12h7w9p5m3FavIcUe1iTdWsPAXKbFPR6yCzL4hZpwLSbh5eyo7peJwXGoCip4ahS2zM7B86iBsmZ2BoqdGufy3VVBmxJrvbYMdoKPHz5rvK/y2UskbzwXEN9AID/GZhQHdebcsl9KpFesRCndUm3hrBYuS0UShUSpDpN5pNZcznZnIqnbRgbd+zp7iTecC4jso4CEAfGdhQG8JzpROrVhP7bij2sSbK1jkXKTEKrHO17dYHhNKHJfiL4ms3vw5e4q3nAuI76CAh/gcbwjO5CZECuUVuKPaxNsrWFguUiyjF1FhOoR0CYKpXt778JdEVm//nD3FG84FxHdQwEOIFb5aylR3CTWNrYjtqoch0vGiLHcZCg6OUzbuqDbxhQoWqYsUy+hFbVMbNs1Kg1arwYWGZsSF6/H4v3/C+frASGT1hc+ZEG+jKGl51apVSE5ORkhICNLT07Fz507RbWfMmAGNRuPw069fP8s2GzZsENymudn2pCdnv4TIZb2q9bwPfsKSbUcw733hJQqklk9goTSR19Ov6WmsoxJVjS2WZSay+8Rh8e2Bk8jqD58zIZ4mO+B5//33MXfuXDz99NPYv38/Ro4cifHjx6OyslJw++XLl8NoNFp+Tp8+jdjYWPzpT3+y2S4yMtJmO6PRiJCQq3cncvdLiBxilU08o0CFk1iFmxA+idS6Ssgd1Sb+UMGidPTCVyoO1eAPnzMhnqbhOE5W3t/w4cORlpaG1atXWx7r27cvJk+ejNzcXMnnf/LJJ/jDH/6AiooKJCYmAugY4Zk7dy5qa2tV3W9LSwtaWq52vK2vr0fPnj1RV1eHyMhIyWMlgcHczmHE0h2SVVf8tEjRU6Mcck427KrAkm1HJPe1ZXaGw3SOO3rm+PJK0vznIdVnxf5zsH5+oCSy+vLnTIgc9fX1iIqKcun6LSuHp7W1FXv37sWCBQtsHh8zZgx2797N9Brr1q1DTk6OJdjh/frrr0hMTITZbMagQYOwZMkSDB482KX95ubm4vnnn2c6LhK4WEvMxSpfgrQaxEWw9YcRmq5xR7WJL1ewuNoQM5ASWX35cybE02QFPFVVVTCbzYiPj7d5PD4+HiaTSfL5RqMRX375JTZv3mzz+E033YQNGzagf//+qK+vx/Lly5GdnY2ffvoJffr0UbzfhQsXYv78+Zb/50d4CLEmt5JFaHtXk0jdcZH25Qs/9Vlh58ufMyGepKhKS6OxvXvgOM7hMSEbNmxAdHQ0Jk+ebPN4RkYGMjIyLP+fnZ2NtLQ0vPnmm3jjjTcU71ev10OvV96ZlQQGuZUsQttTu3v10egFIURNspKW4+LiEBQU5DCqcuHCBYfRF3scx2H9+vWYPn06goODnR+UVouhQ4fi2LFjLu+XECl8sCLFWeULJZG6Bz96MWlQD2T27ka/P0KIYrICnuDgYKSnp6OwsNDm8cLCQmRlZTl97nfffYdffvkFs2bNktwPx3E4cOAAEhISXN4vIVL4YIXlUuosaAmkKiFCCPE1sqe05s+fj+nTp2PIkCHIzMzEmjVrUFlZiTlz5gDoyJs5e/YsNm7caPO8devWYfjw4UhNTXV4zeeffx4ZGRno06cP6uvr8cYbb+DAgQNYuXIl834JcYVYzgiPtfKFpmEIIcQ7yQ54pkyZgurqarzwwgswGo1ITU1Ffn6+perKaDQ69Mapq6vDhx9+iOXLlwu+Zm1tLR544AGYTCZERUVh8ODB+P777zFs2DDm/RLiKutgRarTsjOUREoIId5Hdh8eX6ZGHT8hhBBCPEuN67eipSUIIYQQQnwJBTyEEEII8XsU8BBCCCHE71HAQwghhBC/RwEPIYQQQvweBTyEEEII8XsU8BBCCCHE71HAQwghhBC/RwEPIYQQQvweBTyEEEII8XsU8BBCCCHE71HAQwghhBC/RwEPIYQQQvweBTyEEEII8XsU8BBCCCHE73Xp7AMghHgnczuH0ooaXGhoxrURIRiWHIsgraazD4sQQhShgIcQ4qCgzIjnPy+Hsa7Z8lhCVAiem5iCcakJnXhkhBCiDE1pEUJsFJQZ8Zf39tkEOwBgqmvGX97bh4IyYycdGSGEKEcBDyHEwtzO4fnPy8EJ/Bv/2POfl8PcLrQFIYR4Lwp4CCEWpRU1DiM71jgAxrpmlFbUeO6gCCFEBRTwEEIsLjSIBztKtiOEEG9BAQ8hxOLaiBBVtyOEEG9BAQ8hxGJYciwSokIgVnyuQUe11rDkWE8eFiGEuIwCHkKIRZBWg+cmpgCAQ9DD//9zE1OoHw8hxOdQwEMIsTEuNQGr70mDIcp22soQFYLV96RRHx5CiE+ixoOEEAfjUhMwOsVAnZYJIX6DAh5CiKAgrQaZvbt19mEQQogqaEqLEEIIIX6PAh5CCCGE+D0KeAghhBDi9yjgIYQQQojfo4CHEEIIIX6PAh5CCCGE+D0KeAghhBDi9yjgIYQQQojfo4CHEEIIIX4voDotcxwHAKivr+/kIyGEEEIIK/66zV/HlQiogKehoQEA0LNnz04+EkIIIYTI1dDQgKioKEXP1XCuhEs+pr29HefOnUNERAQ0GloEUa76+nr07NkTp0+fRmRkZGcfDrFCn433os/Ge9Fn473sPxuO49DQ0IDu3btDq1WWjRNQIzxarRbXXXddZx+Gz4uMjKSTg5eiz8Z70Wfjveiz8V7Wn43SkR0eJS0TQgghxO9RwEMIIYQQv0cBD2Gm1+vx3HPPQa/Xd/ahEDv02Xgv+my8F3023ssdn01AJS0TQgghJDDRCA8hhBBC/B4FPIQQQgjxexTwEEIIIcTvUcBDCCGEEL9HAQ8hhBBC/B4FPMTGqlWrkJycjJCQEKSnp2Pnzp1Ot29pacHTTz+NxMRE6PV69O7dG+vXr/fQ0QYWOZ/NjBkzoNFoHH769evnwSMOHHL/bjZt2oSBAwciLCwMCQkJmDlzJqqrqz10tIFD7ueycuVK9O3bF6GhofjNb36DjRs3euhIA8v333+PiRMnonv37tBoNPjkk08kn/Pdd98hPT0dISEhuP766/HWW2/J3zFHyBV5eXmcTqfj1q5dy5WXl3OPPfYYFx4ezp06dUr0Obfffjs3fPhwrrCwkKuoqOB++OEHbteuXR486sAg97Opra3ljEaj5ef06dNcbGws99xzz3n2wAOA3M9m586dnFar5ZYvX86dOHGC27lzJ9evXz9u8uTJHj5y/yb3c1m1ahUXERHB5eXlccePH+e2bNnCde3alfvss888fOT+Lz8/n3v66ae5Dz/8kAPAffzxx063P3HiBBcWFsY99thjXHl5Obd27VpOp9NxW7dulbVfCniIxbBhw7g5c+bYPHbTTTdxCxYsENz+yy+/5KKiorjq6mpPHF5Ak/vZ2Pv44485jUbDnTx50h2HF9Dkfjavvvoqd/3119s89sYbb3DXXXed244xEMn9XDIzM7knnnjC5rHHHnuMy87OdtsxEo4p4Pnf//1f7qabbrJ57MEHH+QyMjJk7YumtAgAoLW1FXv37sWYMWNsHh8zZgx2794t+JzPPvsMQ4YMwSuvvIIePXrgxhtvxBNPPIFLly554pADhpLPxt66deuQk5ODxMREdxxiwFLy2WRlZeHMmTPIz88Hx3E4f/48tm7digkTJnjikAOCks+lpaUFISEhNo+FhoaitLQUbW1tbjtWIq24uNjhsxw7dix+/PFHWZ8NBTwEAFBVVQWz2Yz4+Hibx+Pj42EymQSfc+LECRQVFaGsrAwff/wxXn/9dWzduhUPP/ywJw45YCj5bKwZjUZ8+eWXuP/++911iAFLyWeTlZWFTZs2YcqUKQgODobBYEB0dDTefPNNTxxyQFDyuYwdOxbvvPMO9u7dC47j8OOPP2L9+vVoa2tDVVWVJw6biDCZTIKf5eXLl2V9NhTwEBsajcbm/zmOc3iM197eDo1Gg02bNmHYsGG49dZb8dprr2HDhg00yuMGcj4baxs2bEB0dDQmT57spiMjcj6b8vJyPProo3j22Wexd+9eFBQUoKKiAnPmzPHEoQYUOZ/LokWLMH78eGRkZECn02HSpEmYMWMGACAoKMjdh0okCH2WQo87QwEPAQDExcUhKCjI4e7nwoULDpE1LyEhAT169EBUVJTlsb59+4LjOJw5c8atxxtIlHw2PI7jsH79ekyfPh3BwcHuPMyApOSzyc3NRXZ2Np588kkMGDAAY8eOxapVq7B+/XoYjUZPHLbfU/K5hIaGYv369WhqasLJkydRWVmJpKQkREREIC4uzhOHTUQYDAbBz7JLly7o1q0b8+tQwEMAAMHBwUhPT0dhYaHN44WFhcjKyhJ8TnZ2Ns6dO4dff/3V8tjRo0eh1Wpx3XXXufV4A4mSz4b33Xff4ZdffsGsWbPceYgBS8ln09TUBK3W9tTLjyBwtJazKlz5m9HpdLjuuusQFBSEvLw83HbbbQ6fF/GszMxMh8/y66+/xpAhQ6DT6dhfSFaKM/FrfBnnunXruPLycm7u3LlceHi4pbJnwYIF3PTp0y3bNzQ0cNdddx135513cocPH+a+++47rk+fPtz999/fWW/Bb8n9bHj33HMPN3z4cE8fbkCR+9n885//5Lp06cKtWrWKO378OFdUVMQNGTKEGzZsWGe9Bb8k93P573//y/3rX//ijh49yv3www/clClTuNjYWK6ioqKT3oH/amho4Pbv38/t37+fA8C99tpr3P79+y0tA+w/G74sfd68eVx5eTm3bt06Kksnrlu5ciWXmJjIBQcHc2lpadx3331n+bf77ruP++1vf2uz/ZEjR7icnBwuNDSUu+6667j58+dzTU1NHj7qwCD3s6mtreVCQ0O5NWvWePhIA4/cz+aNN97gUlJSuNDQUC4hIYG7++67uTNnznj4qP2fnM+lvLycGzRoEBcaGspFRkZykyZN4n7++edOOGr/9+2333IAHH7uu+8+juOE/2b+85//cIMHD+aCg4O5pKQkbvXq1bL3q+E4GkMlhBBCiH+jiUlCCCGE+D0KeAghhBDi9yjgIYQQQojfo4CHEEIIIX6PAh5CCCGE+D0KeAghhBDi9yjgIYQQQojfo4CHEEIIIX6PAh5CCCGE+D0KeAghhBDi9yjgIYQQQojf+/8NzDKbTiE3yAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.scatter(y_test, y_predict)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b21dd813-871a-4d4a-9e9f-897f2ee2fb44",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8000,) (8000,)\n",
      "岭回归均方误差： 0.0032168120580873495\n"
     ]
    }
   ],
   "source": [
    "# 岭回归\n",
    "estimator = Ridge()\n",
    "estimator.fit(x_train, y_train)\n",
    "\n",
    "# print(estimator.coef_, estimator.intercept_)\n",
    "# 5 模型评估\n",
    "y_predict = estimator.predict(x_test)\n",
    "# 均方误差\n",
    "error = mean_squared_error(y_predict.reshape(-1, 1), y_test)\n",
    "print(y_predict.shape, y_test.shape)\n",
    "print('岭回归均方误差：', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5b6f59c9-9775-459e-8f46-80075836c0c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.scatter(y_test, y_predict)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "78526ea2-5a2b-465b-a189-59ef9922319c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # 随机森林回归器\n",
    "# x = data3.drop(columns=['Rate'])\n",
    "# y = data3['Rate']\n",
    "# clf = RandomForestRegressor(n_estimators = 100, random_state = 0)\n",
    "# # 拟合数据集\n",
    "# clf = clf.fit(x, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e2d91b9c-ce79-4387-ae13-26a4f08aebb3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8000,) (8000,)\n",
      "随机森林均方误差： 0.00023830910276487205\n"
     ]
    }
   ],
   "source": [
    "#随机森林\n",
    "x = data3.drop(columns=['Rate'])\n",
    "y = data3['Rate']\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=42)\n",
    "model = RandomForestRegressor(n_estimators=100, random_state=42)\n",
    "model.fit(x_train, y_train)\n",
    "y_predict = model.predict(x_test)\n",
    "mse = mean_squared_error(y_test, y_predict)\n",
    "r2 = r2_score(y_test, y_predict)\n",
    "# 均方误差\n",
    "error = mean_squared_error(y_predict.reshape(-1, 1), y_test)\n",
    "print(y_predict.shape, y_test.shape)\n",
    "print('随机森林均方误差：', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4023e958-6789-4780-825d-77648b1eb979",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 特征重要性可视化\n",
    "feature_importances = pd.Series(model.feature_importances_, index = x.columns)\n",
    "feature_importances = feature_importances.sort_values(ascending=False)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=feature_importances.values, y=feature_importances.index, palette='viridis')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "61910070-71b6-44d9-aa7d-b118c31caf51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 预测散点图可视化\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(y_test, y_predict, alpha=0.6)\n",
    "plt.plot([y.min() ,y.max()], [y.min(), y.max()], 'r--', lw=2)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
